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ai engineer

neno

<div>
 <p>
  <strong>
   Europe&rsquo;s first full-stack AI financial services company
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We merge best-in-class financial technology; banking, payments, invoicing, accounting, payroll and tax with embedded expert advisory services.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are the force-multiplier. Our system continuously learns from our customers, which means every workflow becomes faster, more accurate and more automated over time saving our customers 100+ hours a year of time wasted on admin.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our team is made up of ambitious, unapologetically curious, slightly crazy ex-founders, veteran fintech operators, AI engineers, creatives and corporate finance experts from the big4. We&rsquo;re serious about excellence, but we&rsquo;re anything but boring: on weekends you might find us at techno parties, wine tastings, football matches or training new models for fun.
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you thrive in a high-commitment, high-reward culture and want the autonomy to deliver your best work, this will be the most exciting team you ever join.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Neno is backed by Firstminute Capital, Motive Partners and angels from Miro, Coinbase, Mollie, Juni, Deel, Navro, Copper, Wise &amp; PayPal.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The role
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for an AI Engineer to join our engineering team who will design, build and operate the agentic AI systems that sit at the core of Neno's product. This is a high-ownership, high-impact role: you will architect and ship the multi-agent workflows, context pipelines, LLM integrations and automation infrastructure that transform how European SMEs manage their accounting, tax, payroll and banking, and you will do it inside a team that treats AI as the product, not a feature bolted on top of one.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You will work directly with the VP Engineering and alongside a team of AI engineers, product builders and chartered accountants to translate complex financial workflows into production-grade AI systems. The domain matters here: Neno must be accurate enough to handle VAT returns, precise enough to reconcile bank feeds and explainable enough that our accountants can supervise and trust it. You will build AI-powered systems that meet that bar.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You have deep hands-on experience with agentic AI frameworks, LLM orchestration and retrieval-augmented generation. You think carefully about evaluation, observability and failure modes, not just about what works in a notebook. And you are genuinely excited about the specific challenge of applying AI to financial services workflows, where the cost of a wrong answer is real.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What this role is not
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is not a role for someone who wants to fine-tune models in isolation or research AI in the abstract. You will be building production systems that handle real financial data for real SME clients, systems that must be accurate, reliable and explainable. The bar is high and the feedback loop is short. Building a company like Neno is fun. We celebrate the wins, learn from the losses and never repeat the same mistakes. This is what it takes to win, and we only want to win.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who we are looking for
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We care about what you've shipped, what it changed, and what you fought for to make it happen. Most of this is true about you:
 </p>
 <ul>
  <li>
   You took a product from 1 to 100 and beyond. You have experience in joining a company early, owning a meaningful part of it, and actively growing it. You built the thing, shipped it, watched real users use it, fixed what broke, and iterated until it worked.
  </li>
  <li>
   You like small and lean teams. You will be the 8th engineer joining Neno. 7th if you apply right now.
  </li>
  <li>
   You've shipped an end-to-end AI product with measurable impact. We want you to talk about a real thing that you shipped to real users and moved a real number you can us about. You want to do it again, and you know how to do it better this time. You&rsquo;re eager to talk about nuances and technologies you&rsquo;ve used.
  </li>
  <li>
   You championed AI internally. You pulled engineers, PMs, ops people, accountants, whoever, off their old workflows and onto AI-native ones. You wrote the playbook. You answered the same questions for the tenth time without losing patience. People are still using the patterns you set up.
  </li>
  <li>
   You championed AI externally. You wrote the blog post, gave the talk, did the podcast, contributed to open-source, or published work in applied AI. You're comfortable being the face of your work.
  </li>
  <li>
   You have a well defined agentic coding workflow, and you can show it. Claude, Cursor, or Codex; mcp&rsquo;s, memory management, multi-agent systems. You knew the layout of ~/.claude before it was cool. What matters is that you've thought about it, iterated on it, made it pragmatic and efficient, and use it daily and can tell us about it.
  </li>
  <li>
   You scope your own work. You like to work on a problem, not on a ticket. You break hard-to-solve problems down, think through the scenarios, edge cases, business goals and user experience. You make the calls, and discuss with colleagues.
  </li>
  <li>
   You&rsquo;re working in a collaborative manner. You don&rsquo;t work in isolation, you share infrastructure, API design, data structures, code patterns, AGENTS.md with your colleagues. You have strong opinions and you know when to make trade-offs.
  </li>
  <li>
   You hold a high bar on quality. You don't ship and pray. "Mostly works" is below your bar, and you genuinely care about your customers. You know what this means for deterministic flows, complex API integrations and non-deterministic AI systems.
  </li>
  <li>
   TypeScript, Python, deno, GraphQL, Prisma, Pulumi. You are comfortable with our current stack, and you will help us to take it to the next level.
  </li>
  <li>
   You&rsquo;ve done most of it. Agentic AI Systems, Context Engineering and RAG, Cloud AI platforms (AWS Bedrock, Google Vertex AI, or Azure), AI Observability, Experiment tracking, Evals. Fintech, European Finance or Accounting or Workflow automation domains.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What impact you will have
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Design and build the agentic AI systems that power Neno's core accounting, tax and payroll automation, end-to-end, from architecture to production
  </li>
  <li>
   Reduce the manual effort in our accountants' workflows by building AI agents that handle categorisation, reconciliation, anomaly detection and compliance checks reliably
  </li>
  <li>
   Build and maintain context engineering pipelines that give Neno's AI accurate, context-rich access to financial regulations, client data and accounting knowledge
  </li>
  <li>
   Define and own the evaluation frameworks, observability stack and quality controls that ensure AI output meets the precision required in financial services
  </li>
  <li>
   Contribute to Neno's AI architecture decisions, model selection, agent design patterns, memory and tool orchestration, as a senior technical voice
  </li>
  <li>
   Help raise the AI capability of the broader engineering team through code review, technical mentorship and shared best practices
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we give you
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  💻 The latest equipment &amp; software licenses to deploy as many agents as you need.
 </p>
 <p>
  🤠 An incredibly smart, hardworking and humble team that constantly supports your growth with a hybrid policy of 3 days a week in office. Most of us are 5 days a week.
 </p>
 <p>
  🏝 Work from anywhere in the world for 8 weeks a year within a 3-hour timezone
 </p>
 <p>
  💸 A competitive salary &amp; stock options.
 </p>
 <p>
  🏝 25 days of annual leave
 </p>
 <p>
  🥳 Regular socials and company off-sites in questionably exotic destinations.
 </p>
 <p>
  🚀 A huge opportunity for career growth as you help shape a market-defining product and engineering org.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you are signing up for
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Before applying for this role, carefully think about what you are committing to. The interview process is demanding for the very reason that we seek the top 1% of candidates. Building
 </p>
 <p>
  Neno means embarking on an exciting journey to reshape the future of AI-native financial services. The opportunity is massive, and the road to get there is challenging. You will often have to step out of your comfort zone and willingly take on tasks outside your job spec.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Our Process
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We review applications on a rolling basis. If you're a good fit, we move quickly. We'll schedule an initial conversation to discuss the role in more detail, followed by a team interview and final offer.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Screening interview
 </p>
 <p>
  Technical case challenge &amp; presentation
 </p>
 <p>
  Team interview
 </p>
 <p>
  Values interview
 </p>
 <p>
  Offer
 </p>
 <p>
  <br/>
 </p>
 <p>
  *This role does offer sponsorship
 </p>
</div>


AI Engineer

Workato

<div>
 <strong>
  About Workato
  <br/>
  <br/>
 </strong>
 Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato&rsquo;s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
 <br/>
 <br/>
 <strong>
  Why join us?
  <br/>
  <br/>
 </strong>
 Ultimately, Workato believes in fostering a
 <strong>
  flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
 </strong>
 . We are driven by
 <strong>
  innovation
 </strong>
 and looking for
 <strong>
  team players
 </strong>
 who want to actively build our company.
 <br/>
 <br/>
 But, we also believe in
 <strong>
  balancing productivity with self-care
 </strong>
 . That&rsquo;s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
 <br/>
 <br/>
 If this sounds right up your alley, please submit an application. We look forward to getting to know you!
 <br/>
 <br/>
 <strong>
  Also, Feel Free To Check Out Why
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Business Insider named us an &ldquo;enterprise startup to bet your career on&rdquo;
  </li>
  <li>
   Forbes&rsquo; Cloud 100 recognized us as one of the top 100 private cloud companies in the world
  </li>
  <li>
   Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
  </li>
  <li>
   Quartz ranked us the #1 best company for remote workers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 We are looking for a
 <strong>
  Staff AI Engineer
 </strong>
 to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:
 <br/>
 <br/>
 <ul>
  <li>
   Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.
  </li>
  <li>
   Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.
  </li>
  <li>
   Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.
  </li>
  <li>
   Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.
  </li>
  <li>
   Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.
  </li>
  <li>
   Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.
  </li>
  <li>
   Develop and enhance monitoring, validation, and observability for production-grade AI solutions.
  </li>
  <li>
   Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.
  </li>
  <li>
   Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.
  </li>
  <li>
   Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Example Projects
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Building an evaluation and observability framework for AI model performance and reliability.
  </li>
  <li>
   Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.
  </li>
  <li>
   Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.
  </li>
  <li>
   Designing AI services that process and reason over high-volume real-world data at scale.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Qualifications / Experience / Technical Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  </li>
  <li>
   5+ years of experience as a Software Engineer, with strong proficiency in Python.
  </li>
  <li>
   Proven track record of building and maintaining production-grade systems using Python.
  </li>
  <li>
   Strong understanding of distributed systems, API design, and data-driven architectures.
  </li>
  <li>
   Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).
  </li>
  <li>
   Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.
  </li>
  <li>
   Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).
  </li>
  <li>
   Python
  </li>
  <li>
   FastAPI
  </li>
  <li>
   LLM APIs (OpenAI, Anthropic, Qwen, OSS)
  </li>
  <li>
   LiteLLM
  </li>
  <li>
   Qdrant
  </li>
  <li>
   PostgreSQL
  </li>
  <li>
   ElasticSearch
  </li>
  <li>
   Langfuse
  </li>
  <li>
   Kubernetes
  </li>
  <li>
   GitHub Actions
  </li>
  <li>
   ArgoCD
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).
  </li>
  <li>
   Background in developer platforms or AI infrastructure services.
  </li>
  <li>
   Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.
  </li>
  <li>
   Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.
  </li>
  <li>
   Experience developing enterprise-scale SaaS or distributed backend systems.
  </li>
  <li>
   Contributions to open-source projects in Python, AI, or infrastructure engineering.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Soft Skills / Personal Characteristics
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.
  </li>
  <li>
   Collaborative and proactive approach, comfortable working across teams in a dynamic environment.
  </li>
  <li>
   Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.
  </li>
  <li>
   Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  (REQ ID: 2460)
 </strong>
</div>


Staff AI Engineer

ABN AMRO Bank N.V.

<div>
 <strong>
  At a glance
  <br/>
  <br/>
 </strong>
 The Finance and Risk Data Domain is looking for an experienced (8+ years) machine learning engineer for the advanced analytics and AI team. The position is for 40 hours per week at hay level 11 (&euro; 70.000- &euro; 100.000 yearly gross based on 40 hrs) and you would join around 10 other engineers to create AI driven solutions that empower our business.
 <br/>
 <br/>
 The AI team uses its expertise to turn promising (gen)AI ideas into fully fledged products. These products are data driven and assist the business in unlocking the full value of our data in order to make better informed decisions. Several applications are already in use and are used daily by colleagues across the organization.
 <br/>
 <br/>
 <strong>
  Your job
  <br/>
  <br/>
 </strong>
 Your role within this team will include the design and creation of AI models/applications. You will also be expected to be able to explain the value of your designs and defend the choices made. As an expert and frontrunner on AI you should also be able to convince others of the value that your applications can bring, as well as coach and train less experienced engineers in the proper use of AI.
 <br/>
 <br/>
 AI applications usually start their journey with a business requirement and an idea to have AI assist with the stated problem. Then a proof of concept phase starts, followed by a formal production design and implementation if successful. You will be involved at all stages of this pipeline, offering advice and guidance, and aiding with the design and implementation, either directly or indirectly. You will also train teams to maintain these applications.
 <br/>
 <br/>
 <strong>
  Your profile
  <br/>
  <br/>
 </strong>
 We heavily utilize Databricks in our environment for our data applications, using Python as our language of choice. Required skills would therefore include:
 <br/>
 <br/>
 <ul>
  <li>
   Python
  </li>
  <li>
   Spark/PySpark
  </li>
  <li>
   Databricks
  </li>
  <li>
   Azure (AI services especially)
  </li>
  <li>
   SQL
  </li>
  <li>
   Software development practices (clean code, SOLID, patterns etc.)
  </li>
  <li>
   Excellent communication and stakeholder management skills
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 AI-Assisted Development (nice to have)
 <br/>
 <br/>
 <ul>
  <li>
   Experience with AI-assisted development tools (e.g. GitHub Copilot in VS Code / IDEs)
  </li>
  <li>
   Able to establish and maintain structured AI context (e.g. repository-level instructions, prompts, and reusable skills)
  </li>
  <li>
   Guides AI tools by embedding team standards, architectural decisions, and best practices into reusable context
  </li>
  <li>
   Reduces rework and inconsistency by contributing to shared AI assets (templates, examples, and patterns)
  </li>
  <li>
   Critically evaluates AI-generated output and ensures alignment with quality, security, and maintainability expectationsIdentifies opportunities to scale AI usage across the team through structured approaches rather than ad-hoc prompting
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Working environment
  <br/>
  <br/>
 </strong>
 The F&amp;R data domain is a multicultural environment that works in an agile way and promotes knowledge sharing and collaboration. We host department wide sessions several times a year to facilitate this and have some fun events on top.
 <br/>
 <br/>
 <strong>
  We are offering
  <br/>
  <br/>
 </strong>
 We believe it is important to be a good employer. Joining us means stepping into a role with impact, supported by excellent employment conditions that foster your job satisfaction, development, and wellbeing.
 <br/>
 <br/>
 In addition, we offer:
 <br/>
 <br/>
 <ul>
  <li>
   An attractive gross monthly salary based on a 36‑hour work week, including holiday allowance and a flexible benefit budget.
  </li>
  <li>
   An excellent pension scheme, ensuring that you are well prepared for the future.
  </li>
  <li>
   Flexibility in working: working from home is possible in consultation with your team and depending on your role. We will provide an ergonomic home office setup for you.
  </li>
  <li>
   Plenty of room for relaxation with five weeks of vacation per year, supplemented by two mandatory days off. You can also purchase up to four additional weeks of vacation annually.
  </li>
  <li>
   Five &ldquo;Banking for better days&rdquo;: extra days off that you can use for personal development or volunteer work.
  </li>
  <li>
   Personal development is key: you receive a development budget of &euro;1,000 per year, which can accumulate up to &euro;3,000.
  </li>
  <li>
   An annual public transport pass with free public transportation throughout the Netherlands for both business and private use.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 You can find more information about our employment conditions and salary scales in our Collective Labour Agreement (CLA), which applies to this vacancy.
 <br/>
 <br/>
 <strong>
  Interested?
  <br/>
  <br/>
 </strong>
 After initial screening, the interview process consists of a first interview to go over the role and relevant experience and skills in broad strokes. This is followed by a technical assignment and a technical interview. The assignment covers the basic aspects of the job and forms a starting point for the second interview. After the second interview we will usually take a decision, although on rare occasions a third interview can take place. For additional questions, you can contact the hiring manager: jasper.ris@nl.abnamro.com
 <br/>
 <br/>
 <strong>
  Your Future: Inclusive, Innovative, Sustainable
  <br/>
  <br/>
 </strong>
 At ABN AMRO, we believe in "Banking for better, for generations to come." Equal opportunities for everyone are a crucial foundation, as we strive for an inclusive culture where all employees feel seen, heard, and valued. Our vision of being a personal bank in the digital age aligns perfectly with the demand for surprising insights and innovative solutions, born from a diverse interplay of cultures and experiences. We focus on customer experience, sustainability, and building a future-proof bank, conducting annual reviews to ensure equal pay for equal work. Join a bank that embraces ingenuity and ambition, and make an impact with us for a better future.
 <br/>
 <br/>
 If you want to apply for the B-Able or Reboot program, make sure to mention it both in the title and the content of your resume.
 <br/>
 <br/>
 <strong>
  Disclaimer external recruitment agencies
  <br/>
  <br/>
 </strong>
 External recruitment agencies need to have a signed agreement with ABN AMRO BANK N.V., executed by a Talent Acquisition Specialist, when submitting a resume to a vacancy. No unsolicited services or offers, please.
</div>


Machine Learning & AI Engineer

Epiic

<div><div><div><div>Maximale doorgroei tot &euro; 5179 per maand 32 - 40 uur per week Amsterdam Hbo, Wo
</div><div></div><div><div><div><div>
Enthousiast? Reageert vandaag nog</div></div></div></div></div></div><div></div>
<div><div><div>Maximale doorgroei tot &euro; 5179 per maand 32 - 40 uur per week Amsterdam Hbo, Wo
</div><div></div><div><div><div><div>
Enthousiast? Reageert vandaag nog</div></div></div></div></div></div><div></div>
<div><p>
Innovatie is de drijvende kracht achter voortuitgang. En technologie is een krachtig hulpmiddel om voor positieve veranderingen te zorgen. Op beide vlakken maak jij in deze combi-functie het verschil. Als consultant pak je de verantwoordelijkheid voor de subsidieaanvragen bij innovatietrajecten van onze klanten. En als generative AI engineer ontwikkel je een AI-tool die het subsidieaanvraagproces slimmer, sneller en eenvoudiger maakt. Versterk jij ons team in Amsterdam?</p></div>
<div><div><h2 class="jobSectionHeader"><b>
Wie is Epiic?</b></h2><p>
Bij Epiic maken we de dromen van ondernemers waar. We helpen bedrijven door heel Nederland om te groeien en te vernieuwen. Niet alleen met subsidieadvies, maar ook met financiering, business development en slimme go-to-marketstrategie&euml;n. We zijn een zelfstandige dochter van aaff en hebben &eacute;&eacute;n doel voor ogen: innovaties vertalen naar succesvolle projecten.</p></div></div>
<div><p>
Werkzaamheden</p><div><h2 class="jobSectionHeader"><b>
Wat ga je doen als Generative AI engineer in Amsterdam?</b></h2><p>
Samen met een hecht, enthousiast team van consultants werk je aan gedegen advies voor onze klanten. Je duikt in complexe innovatievraagstukken, waarbij je niet alleen cijfers en technologie&euml;n analyseert, maar ook &eacute;cht luistert naar de ondernemers. Of het nu een jonge startup is of een gevestigde ondernemer, jij begrijpt de uitdagingen en behoeften van de klant. Daarnaast werk je aan een innovatieve toepassing die met kunstmatige intelligentie subsidieaanvragen naar een hoger niveau tilt. Voor jou is een sleutelrol weggelegd bij het ontwikkelen en toepassen van AI-modellen. De oplossingen waaraan je werkt, hebben directe impact op onze klanten.<br>
<br>
</p><h2 class="jobSectionHeader"><b>Je belangrijkste verantwoordelijkheden zijn:</b></h2><ul><li>
meedenken met en adviseren van onze klanten over nationale en Europese subsidies om hun plannen te realiseren;</li><li>
schrijven van subsidieaanvragen en opstellen van rapportages en projectvoorstellen;</li><li>
ontwerpen en implementeren van AI-oplossingen gebaseerd op large language models (LLM&rsquo;s);</li><li>
verbeteren van de kwaliteit en nauwkeurigheid van tekstmodellen.</li></ul></div></div><div><br>
</div>
<div><p>Fijn werk, fijne voorwaarden</p><div><h2 class="jobSectionHeader"><b>
Wat krijg je van ons?</b></h2><ul><li>
Salaris: maximale doorgroei binnen deze functie tot &euro; 5179. Startinschaling vindt plaats op basis van relevante werkervaring.</li><li>
Keuzevrijheid in verlof: jij bepaalt hoeveel vrije dagen je opneemt, tot 38 per jaar. Kies uit regulier verlof, het aaff-budget of extra dagen via je salaris. Wat je van het aaff-budget niet gebruikt, keren we uit.</li><li>
Ruimte om te leren tijdens werktijd: via onze aaff academie of een externe opleiding.</li><li>
Duidelijk groeipad: met volop mogelijkheden om je te specialiseren of door te stromen.</li><li>
Duurzaam onderweg: &euro; 0,30 per auto-km voor woon-werkritten, &euro; 0,40 (&euro; 0,23 netto) per fiets-/wandelkm. Daarbovenop een volledige ov-vergoeding of &ndash; bij meer dan 7500 zakelijke km per jaar &ndash; een elektrische leaseauto of mobiliteitsbudget. Bij elektrisch rijden ontvang je &euro; 0,40 per km.</li><li>
Vergoeding voor thuiswerken: &euro; 2,45 per thuiswerkdag &eacute;n &euro; 40 netto internetvergoeding per maand.</li><li>
Thuiswerkbudget van &euro; 550: om je werkplek thuis prettig en ergonomisch in te richten.</li><li>
Jaarlijks &euro; 200 vitaliteitsbudget: voor jouw mentale en fysieke gezondheid &eacute;n altijd toegang tot het online platform OpenUp.</li><li>
Flexibel verlof sparen: voor een sabbatical, langere reis of tijd voor jezelf.</li><li>
Feestdagen omruilen: kies twee dagen die passen bij jouw religie of cultuur.</li><li>
Laptop en telefoon: alles wat je nodig hebt om jouw werk goed te doen.</li></ul></div></div>
<div><p>
Jij en je talenten</p><div><h2 class="jobSectionHeader"><b>
Dit breng jij mee</b></h2><ul><li>
Affiniteit en ervaring: affiniteit met AI en/of Data Engineering en minstens twee jaar relevante ervaring.</li><li>
Skills: uiteraard ben je digitaal vaardig en maak je je nieuwe systemen snel eigen. Daarnaast beschik je over sterk begrijpend leesvermogen en verwerk je informatie snel en nauwkeurig. Ook communiceer je helder en overtuigend, zowel mondeling als schriftelijk.</li><li>
Mentaliteit: je neemt initiatief en denkt in oplossingen, bent sterk in organiseren en een stevige sparringpartner op strategisch niveau. Jij houdt het overzicht &eacute;n ziet de kansen.</li></ul></div></div>
<p></p><div><div><div><div><p>
Werken bij Epiic</p><h2 class="jobSectionHeader"><b>
Bij Epiic maak je impact voor klanten &eacute;n jezelf</b></h2><div><p>
Samen brengen we ambities tot leven. Die van onze klanten &eacute;n die van jou. Dat doen we als team: door te vernieuwen, samen te groeien en het verschil te maken. Of je nu net begint of al ervaring hebt, je krijgt bij ons vertrouwen &eacute;n vrijheid. Zo bouwen we samen aan vooruitgang.</p></div></div></div></div></div><div></div>
<div></div><div><div><div><p>
Consultant / Generative AI engineer in Amsterdam</p><h2 class="jobSectionHeader"><b>
Klaar om aan de slag te gaan?</b></h2><div><p>
Solliciteren is simpel: stuur ons je CV en korte motivatie via onderstaande button. Heb je nog een vraag? Bel of mail gerust.</p></div></div></div></div></div><div></div>

Consultant / Generative AI engineer in Amsterdam

Bain & Company

<div><p><b><i>Please </i></b><b><i>submit your resume/CV in English to be considered for this role.</i></b></p>
<p><b>WHAT MAKES US A GREAT PLACE TO WORK</b></p>
<p>We are proud to be consistently recognized as one of the world&rsquo;s best places to work. We are currently the top ranked consulting firm on Glassdoor Best Place to Work list and have earned the #1 overall spot a record seven times.</p>
<p>Extraordinary teams are at the heart of our business strategy, but these don&rsquo;t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.</p>
<p><b>WHO YOU&rsquo;LL WORK WITH</b></p>
<p>About the Commercial Excellence practice
<br>
Bain&rsquo;s B2B Commercial Excellence practice works with clients to develop a clear go-to-market (GTM) strategy: building an in-depth understanding of market opportunity, designing effective sales coverage and capacity models to attack that opportunity, and creating an industrialized sales execution capability to ensure commercial success. Coro&rsquo;s software and data solutions are an innovative and increasingly critical part of this approach. To learn more about Coro, visit https://www.coro.io/.</p>
<p><b>WHERE YOU&rsquo;LL FIT WITHIN THE TEAM</b></p>
<p>About Coro℠
<br>
The Coro ℠ business unit brings together Bain&rsquo;s proprietary suite of software-as-a-service (SaaS) and data-as-a-service (DaaS) tools, including cloud-based software, online capability assessments, and advanced analytics, focused on enabling Commercial Excellence for B2B companies.
<br>
<br>
The Impact You'll Have
<br>
Bain&rsquo;s Commercial Excellence work helps B2B companies turn market opportunity into booked revenue, through sharper go-to-market strategy, better sales coverage and capacity, and industrialized execution.</p>
<p>We are hiring an AI Engineer to join the Coro team and help build the next generation of Coro&rsquo;s products: cutting-edge software and data tools infused with AI and agentic capabilities. Working across rapid proofs of concept (POCs), MVPs, and, where appropriate, scaled production deployments, you will design and implement LLM-driven features and agentic workflows that use tools, data, and enterprise systems to execute multi-step tasks reliably and safely, turning raw, heterogeneous client data into the structured analytics and synthesized outputs that case teams rely on in live engagements.</p>
<p>These capabilities power Coro&rsquo;s product suite, such as MoneyMap&trade;, which builds a granular, bottoms-up view of market opportunity, and the repeatable analytics workflows behind Bain&rsquo;s B2B go-to-market work, across challenges such as opportunity mapping, indirect channel growth, and profitability analysis.</p>
<p>While GenAI and agentic AI are the primary focus, you will also draw on data science and ML engineering skills as needed, including building evaluation approaches, working with data pipelines, and developing or integrating ML models when they materially improve performance or reliability.</p>
<p>You will have opportunities to work with major AI ecosystem partners through Bain&rsquo;s partnerships, collaborating on real client deployments and helping shape how emerging capabilities are applied in commercial settings. You will learn by doing, with support from experienced teammates, frequent feedback, and increasing responsibility over time, in keeping with Bain&rsquo;s apprenticeship model.</p><p><b><br>
</b></p><p><b>WHAT YOU&rsquo;LL DO</b></p>
<p><b>Build AI-powered tools and products that drive real business outcomes</b></p>
<div><ul><li>Design and develop GenAI applications (e.g., copilots, workflow automation, decision support for commercial teams) using modern LLM stacks.</li>
<li>Implement agentic workflows where they add clear value (e.g., tool use, multi-step execution, human-in-the-loop controls), with attention to reliability, safety, and clear failure modes.</li>
<li>Design and build advanced search, retrieval, and knowledge pipelines across diverse data structures and stores (e.g., hybrid search, vector stores, graph databases / knowledge graphs, and traditional data platforms), covering indexing strategies, metadata design, relevance tuning / reranking, freshness, caching, access controls, and source attribution.</li>
<li>Build robust agent capabilities including context engineering, memory and state management (short-term and long-term), orchestration, routing, and tool integration patterns.</li>
<li>Integrate solutions into enterprise environments and workflows (APIs, data systems, collaboration tools), balancing quality, latency, cost, privacy, and adoption.</li>
<li>Translate ambiguous client needs into clear technical requirements, tradeoffs, and delivery plans.</li>
</ul></div><p><b>Build and apply data science and machine learning capabilities</b></p>
<div><ul><li>Build ML solutions end-to-end: data preparation, feature engineering, model selection, training, validation and testing, and performance analysis.</li>
<li>Apply the right methods for the problem, spanning classical ML and deep learning (including sequence, text, and image models when relevant).</li>
<li>Create reproducible training and evaluation pipelines (versioning, experiment tracking, robust validation, clear documentation).</li>
<li>Demonstrate fluency with modern deep learning concepts, including transformer fundamentals and LLM pre-training versus post-training concepts (e.g., instruction tuning and preference optimization approaches).</li>
</ul></div><p><b>Engineer for real delivery</b></p>
<div><ul><li>Write clean, testable, maintainable code and ship AI services through the full SDLC: build, test, deploy, monitor, and iterate.</li>
<li>Implement MLOps and GenAIOps practices: CI / CD, reproducibility, environment parity, model / prompt / agent versioning, and operational readiness.</li>
<li>Build evaluation and observability for GenAI and agentic systems: tracing and instrumentation, regression test suites, automated scoring where appropriate, and iteration loops for prompt and policy optimization.</li>
<li>Design for secure enterprise deployment: access controls, auditability, data handling for sensitive and PII data, and responsible AI guardrails.</li>
<li>Build reusable components and accelerators (templates, evaluation harnesses, connectors, orchestration patterns) that scale across client contexts.</li>
</ul></div><p><b>Thrive in a client-facing consulting environment</b></p>
<div><ul><li>Communicate clearly with technical and non-technical stakeholders; lead working sessions, present recommendations, and write crisp technical documentation.</li>
<li>Work effectively with Bain consultants to prioritize the critical few technical decisions that unlock business value.</li>
</ul></div><p>Support proposal shaping and scoping: effort sizing, architecture options, risk assessment, and delivery roadmaps.</p><p><b><br>
</b></p><p><b>ABOUT YOU</b></p>
<p><b>Core engineering and AI application skills</b></p>
<div><ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.</li>
<li>3&ndash;5+ years of professional AI / ML engineering experience (or equivalent), with strong backend engineering fundamentals.</li>
<li>Strong proficiency in Python and experience building APIs / services (e.g., REST / gRPC) and integrating with enterprise systems.</li>
<li>Hands-on experience building LLM-powered applications with delivery considerations (latency, cost, reliability, security).</li>
<li>Experience building advanced retrieval / search systems (e.g., hybrid retrieval, vector search, reranking), and comfort working across multiple data stores (vector, graph, relational / document / search).</li>
<li>Experience implementing agentic patterns (context management, tool integration, orchestration, and memory / state handling), with modern frameworks (e.g., LangGraph, OpenAI Agents SDK, Pydantic AI) or custom agent loops, and strong judgment about when agentic approaches are, and are not, appropriate.</li>
<li>Experience creating reusable skills, tools, and services (including MCP) for agent use, with schema validation (e.g., Pydantic) to enforce reliable data contracts.</li>
<li>Strong engineering practices: testing, code review, version control, CI / CD, and performance profiling.</li>
</ul></div><p><b>Cloud, platform, and production delivery experience</b></p>
<div><ul><li>Experience deploying and operating services on AWS, GCP, and / or Azure (environment management, reliability, observability, scaling).</li>
<li>Experience with Docker and Kubernetes (or equivalent orchestration) and operating services in production (debugging, performance, resilience).</li>
<li>Proven ability to implement security, privacy, and governance requirements for AI systems (authentication / authorization, access controls, PII / sensitive data handling, enterprise risk controls).</li>
</ul></div><p><b>Breadth of knowledge across data science and machine learning</b></p>
<div><ul><li>Experience training, validating, and testing ML models; strong understanding of overfitting, generalization, and evaluation methodology.</li>
<li>Practical experience with feature engineering and data preprocessing for real-world datasets.</li>
<li>Familiarity with a broad set of ML algorithms (classical ML and deep learning), and the ability to choose methods that match the business and data constraints.</li>
<li>Familiarity with deep learning frameworks (e.g., PyTorch / TensorFlow) and ML lifecycle tooling (e.g., experiment tracking, model registry, feature store concepts).</li>
</ul></div><p><b>Delivery mindset and consulting skills</b></p>
<div><ul><li>Proven ability to operate in ambiguity and complexity, manage priorities, and deliver outcomes independently or with a collaborative team.</li>
<li>Excellent interpersonal and communication skills, able to explain technical decisions, tradeoffs, and results to mixed audiences.</li>
<li>Strong stakeholder management skills; comfort working directly with clients.</li>
</ul></div><p><b>Preferred</b></p>
<div><ul><li>MBA, or PhD in a technical field.</li>
<li>Background in consulting, professional services, or B2B analytics environments.</li>
<li>Experience working with major AI ecosystem partners on real client deployments.</li>
</ul></div><p><b>U.S. COMPENSATION INFORMATION</b></p>
<p>Compensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bain&rsquo;s best in class benefits package (details listed below).</p>
<p>Some local governments in the United States require a good-faith, reasonable salary range to be included in job postings for open roles. The estimated annualized compensation for this role is as follows:</p>
<ul><li>In Massachusetts, New York, District of Columbia, Georgia, Illinois, Texas, Washington, and California,<b> </b>the good-faith, reasonable annualized full-time salary range for this role is between <b>$128,500-$171,500</b>; placement within this range will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level</li></ul>
<ul><li>Annual discretionary performance bonus</li></ul>
<ul><li>This role may also be eligible for other elements of discretionary compensation</li></ul>
<ul><li>4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date</li></ul>
<p>Bain &amp; Company's comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection and stability in the areas most important to you and your family.</p>
<ul><li>Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheck</li></ul>
<ul><li>Generous paid time off, including parental leave, sick leave and paid holidays</li></ul>
<ul><li>Fully vested 401(k) company contribution</li></ul>
<ul><li>Paid Life and Long-Term Disability insurance</li></ul>
<ul><li>Annual fitness reimbursements</li></ul>
<p>For all other locations, the good-faith, reasonable annualized full-time salary range for this role is commensurate with competitive geographic market rates for this role and will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level.</p>
<p><i>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</i></p>
<p><b><i>Please </i></b><b><i>submit your resume/CV in English to be considered for this role.</i></b></p></div>

Expert Consultant, Coro, AI Engineer

And Digital

<div>Functie: AI &amp; Data EngineerOnze Missie: The Power of &lsquo;AND&rsquo;<p><b>
Solliciteer alleen op deze functie als je vloeiend Nederlands spreekt en op een redelijke reisafstand van Amsterdam woont.</b></p><p>
AND Digital is een technologiebedrijf dat organisaties helpt hun digitale ambities sneller te realiseren en de groeiende digital skills gap te overbruggen.</p><p>
Wij ontwikkelen hoogwaardige digitale producten, versnellen innovatie en bouwen duurzame digitale capabilities binnen organisaties. Samen met onze klanten ontwerpen, bouwen en schalen we software en data oplossingen, versterken we teams en realiseren we meetbaar business resultaat.</p><p>
Wij geloven in de kracht van &lsquo;AND&rsquo;: expertise &eacute;n executie, innovatie &eacute;n verantwoordelijkheid, ambitieus werk &eacute;n een gezonde carri&egrave;re.</p><p>
Met onze Guide, Build &amp; Equip-aanpak helpen we organisaties niet alleen hun digitale transformatie te realiseren, maar bouwen we ook de kennis, vaardigheden en teams die nodig zijn om duurzaam zelfstandig te blijven innoveren.</p><p>
Je komt te werken in onze Nederlandse Club in hartje Amsterdam (Club Aletta). Als onderdeel van een ondernemende en snelgroeiende organisatie krijg je veel ruimte om initiatief te nemen en eigenaarschap te tonen. Naast je klantwerk draag je actief bij aan de groei van AND Digital, bijvoorbeeld door het ontwikkelen van communities, het aantrekken van nieuw talent, het versterken van onze capabilities of het uitbouwen van klantrelaties.</p><p>
Je combineert de autonomie, snelheid en betrokkenheid van een lokaal team met de expertise en slagkracht van een internationale organisatie. Via onze Practice Areas werk je samen met specialisten in Software Engineering, Product, UX Design, Cloud en Data &amp; AI aan complexe digitale uitdagingen. Zo cre&euml;er je impact voor klanten &eacute;n investeer je continu in je eigen ontwikkeling.</p>
Over jou &amp; de rol:<p>
Als AI &amp; Data Engineer help je klanten bij het realiseren van hun data engineering-behoeften. Jouw focus ligt voornamelijk op de ontwikkeling, implementatie en het onderhoud van data producten en moderne AI-oplossingen in een snel veranderende Agile-omgeving.</p><p>
Je hebt een sterke basis in software engineering en behandelt data-infrastructuur met dezelfde technische nauwkeurigheid. Je voelt je comfortabel bij het bouwen van productie-waardige (production-grade) oplossingen binnen complexe IT-landschappen op enterprise-niveau; of het nu gaat om het bouwen van robuuste data pijplijnen of het bijdragen aan 'agentic AI'-workflows en LLM-patronen.</p><p>
Daarnaast maak je echt impact door een actieve rol te spelen in de Agile-ontwikkeling praktijken van het team. Je draagt bij aan technische discussies en streeft ernaar om de kwaliteit, betrouwbaarheid en waarneembaarheid (observability) van onze data en processen te verbeteren. Je houdt je bezig met het leveren van data engineering voor klanten, terwijl je samenwerkt met junior technologen (zowel binnen AND als bij onze klanten) en hen helpt bij het onboarden.</p>
Wat je gaat doen en wat we van je verwachten<ul><li>
Het ontwikkelen van data-pipelines die ruwe data omzetten in waardevolle inzichten voor besluitvorming, rapportages en geavanceerde data- en AI-toepassingen.</li><li>
Hands-on ervaring met data, waarbij je kennis hebt van datakwaliteit, datastromen, informatiearchitectuur en data-modellering, en deze effectief weet toe te passen in de praktijk.</li><li>
Comfortabel werken in een dynamische, agile omgeving binnen multidisciplinaire teams, waarbij je bijdraagt aan de realisatie van moderne data-platformen voor complexe organisaties.</li><li>
Praktische ervaring met SQL en workflow-orkestratie tools zoals dbt, Airflow, Prefect, Dagster of vergelijkbare technologie&euml;n om schaalbare en productieklare data-pipelines te ontwikkelen.</li><li>
Je hebt ervaring met moderne data-platformen zoals Snowflake, Microsoft Fabric en/of Databricks en beschikt over een certificering op minimaal &eacute;&eacute;n van deze technologie&euml;n, waarmee je jouw expertise kunt onderbouwen.</li><li>
Praktische ervaring met minimaal &eacute;&eacute;n cloudplatform (AWS, Azure of GCP) en relevante cloud-native diensten, zoals bijvoorbeeld Redshift, Glue, Lambda of Kinesis binnen AWS.</li><li>
Hands-on ervaring met versiebeheer en CI/CD-processen, inclusief ervaring met of interesse in Infrastructure as Code (IaC) en geautomatiseerde deployments.</li><li>
Begrip van de Data Product-mindset, waarbij je zorgt dat datasets betrouwbaar, goed gedocumenteerd, vindbaar en eenvoudig te gebruiken zijn voor zowel eindgebruikers als downstream systemen.</li><li>
Het vermogen om de businesswaarde achter technische oplossingen te begrijpen en stakeholders te begeleiden bij het vertalen van requirements naar duurzame, schaalbare data-oplossingen.</li></ul>
Dit ben jij:<ul><li>
Je levert werk van hoge kwaliteit en richt je altijd op het realiseren van concrete waarde voor de klant.</li><li>
Complexiteit of onduidelijkheid zie je als een uitdaging. Je brengt structuur aan, neemt initiatief en werkt samen met je team toe naar de beste oplossing.</li><li>
Je beschikt over sterke technische expertise en blijft jezelf continu ontwikkelen om voorop te blijven lopen in een snel veranderend vakgebied.</li><li>
Je communiceert helder, weet mensen mee te nemen in je verhaal en bouwt gemakkelijk vertrouwen op bij klanten en collega's.</li><li>
Je bent pragmatisch, flexibel en resultaatgericht, met oog voor zowel de korte als de lange termijn.</li><li>
Je deelt actief je kennis, coacht anderen en draagt graag bij aan de ontwikkeling van collega's en teams.</li><li>
Je gelooft in samenwerking, laat ego achterwege en voelt je thuis in multidisciplinaire teams waarin verschillende perspectieven samenkomen.</li><li>
Je beheerst de Nederlandse taal op moedertaalniveau.</li></ul>
Waarom werken bij AND Digital?<ul><li>
Bij AND Digital cre&euml;ren we een omgeving waarin talent impact kan maken, zich continu kan ontwikkelen en met plezier werkt aan uitdagende digitale vraagstukken. Dit kun je van ons verwachten:</li><li>
Het beste van twee werelden &ndash; We werken vanuit lokale, ondernemende Clubs van maximaal 65 mensen. Daardoor ervaar je de energie, betrokkenheid en snelheid van een scale-up, gecombineerd met de expertise, klanten en mogelijkheden van een internationale organisatie.</li><li>
Een sterke vakinhoudelijke community &ndash; Naast je lokale team maak je deel uit van een Practice Area met experts binnen jouw vakgebied. Hier deel je kennis, ontwikkel je nieuwe vaardigheden, werk je aan innovatieve proposities en leer je van collega's die dezelfde passie voor technologie en digitale transformatie delen.</li><li>
Een cultuur gebouwd op groei en samenwerking &ndash; Nieuwsgierigheid, kennisdeling en continue ontwikkeling staan centraal in alles wat we doen. We stimuleren ondernemerschap, geven ruimte voor eigen initiatief en geloven dat de beste resultaten ontstaan wanneer talentvolle mensen samenwerken zonder ego's. Daarbij zijn we ambitieus voor onze klanten &eacute;n investeren we actief in het succes, welzijn en de ontwikkeling van onze mensen.</li></ul><p>
Een sterke basis voor jouw succes</p><p>
Bij AND Digital vinden we dat je pas het beste uit jezelf haalt als je de ruimte krijgt om te groeien, impact te maken en een gezonde balans te behouden. Daarom kun je op basis van een fulltime dienstverband (40 uur) rekenen op:</p><ul><li>
Vakantie &amp; flexibiliteit &ndash; 25 vakantiedagen per jaar en de mogelijkheid om nationale feestdagen om te ruilen voor dagen die beter aansluiten bij jouw cultuur, religie of persoonlijke voorkeuren.</li><li>
Vakantiegeld &ndash; 8% vakantiegeld, dat jaarlijks in mei wordt uitbetaald.</li><li>
Pensioen &ndash; Een aantrekkelijke pensioenregeling waarbij AND Digital een substanti&euml;le bijdrage levert aan je pensioenopbouw, met een minimale eigen bijdrage van 2%.</li><li>
Hybride werken &ndash; Een flexibele werkomgeving waarbij we gemiddeld drie dagen per week samenwerken op locatie bij de klant of in onze Club in Amsterdam en twee dagen vanuit huis werken. Daarbij ontvang je een thuiswerkvergoeding en worden zakelijke reiskosten volledig vergoed.</li><li>
Moderne werkmiddelen &ndash; Een MacBook en een budget voor de IT-accessoires die je nodig hebt om comfortabel en effectief te werken.</li><li>
Groei &amp; ontwikkeling &ndash; Toegang tot onze eigen AND Academy, een sterk Practice Area-netwerk en een breed aanbod aan trainingen, kennisdeling en leerprogramma's. Je krijgt structurele begeleiding met een eigen Growth team, een persoonlijk ontwikkelplan en de mogelijkheid om certificeringen te behalen bij partners zoals AWS, Microsoft, Google Cloud en Databricks. Zo investeren we actief in jouw vakinhoudelijke expertise, persoonlijke ontwikkeling en carri&egrave;regroei.</li></ul><p></p><p>
Kom zoals je bent</p><p>
Bij AND Digital geloven we dat de beste idee&euml;n, producten en oplossingen ontstaan wanneer mensen met verschillende achtergronden, ervaringen en perspectieven samenwerken. Daarom bouwen we bewust aan een inclusieve omgeving waarin iedereen zich welkom voelt, zichzelf kan zijn en de ruimte krijgt om succesvol te zijn.</p><p>
We beoordelen mensen op hun talent, potentieel en impact. Wat jouw achtergrond ook is, we willen dat je je gehoord, gewaardeerd en ondersteund voelt vanaf dag &eacute;&eacute;n.</p><p>
Heb je tijdens het sollicitatieproces specifieke ondersteuning, aanpassingen of hulpmiddelen nodig om jezelf optimaal te kunnen laten zien? Laat het ons recruitmentteam weten. We denken graag met je mee en zorgen ervoor dat jij met vertrouwen het gesprek kunt aangaan.</p></div><p></p>

Data and AI Engineer (Amsterdam)

CuspAI

<div>
 <strong>
  About CuspAI
  <br/>
  <br/>
 </strong>
 CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering.
 <br/>
 <br/>
 We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock.
 <br/>
 <br/>
 We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters.
 <br/>
 <br/>
 <strong>
  We&rsquo;re on the cusp of the on-demand materials era. Join us.
  <br/>
  <br/>
 </strong>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 Due to rapid growth in our core AI capabilities, we are seeking an experienced Applied AI/ML Engineer (Agents) to design and build the intelligent agents that power our autonomous materials discovery engine.
 <br/>
 <br/>
 <strong>
  Your Impact
  <br/>
  <br/>
 </strong>
 You will be instrumental in developing the "artificial brain" of our agentic materials discovery engine. This is responsible for
 <strong>
  orchestrating complex, closed-loop scientific workflows, autonomously making decisions, running simulations
 </strong>
 ,
 <strong>
  and driving experimental campaigns
 </strong>
 to find breakthrough materials faster than ever before.
 <br/>
 <br/>
 Your work will directly accelerate CuspAI&rsquo;s path to finding solutions for global sustainability challenges.
 <br/>
 <br/>
 <strong>
  What You Will Do
  <br/>
  <br/>
 </strong>
 <strong>
  Agentic systems
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design the agentic framework that powers our platform to discover new materials. This includes spanning dynamic, multi-stage simulation workflows from literature-grounded hypothesis generation through to computational and experimental validation
  </li>
  <li>
   Build the integration that connects agents to ML models, simulation engines, databases, and heterogeneous compute backends
  </li>
  <li>
   Design pipelines that let agents autonomously plan, schedule, execute, and interpret computational tasks at scale and over long periods of time
  </li>
  <li>
   Use expert annotations from the Chemistry team to drive targeted improvements in agent planning, retrieval, and decision-making
  </li>
  <li>
   Create evaluations to measure the effectiveness of agents
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experimental design
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build agents that perform experimental design &mdash; applying Bayesian optimization, active learning, or related sequential decision-making methods to decide what to compute or measure next, and to balance exploration and exploitation across long-running discovery campaigns
  </li>
  <li>
   Help close the loop between simulation and physical experiments so that outcomes become durable knowledge &mdash; feeding back into what agents know and how their models reason &mdash; compounding across campaigns.
  </li>
  <li>
   Develop strategies for multi-fidelity and multi-objective decision-making, where agents must trade off cost, time, and uncertainty across simulations and physical experiments
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Interdisciplinary Collaboration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work closely with Chemists, Materials Scientists, and the rest of the Agent team to co-develop our core orchestration intelligence
  </li>
  <li>
   Work on customer projects and implement the direct needs required for these projects
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Must Have Skills and Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You are someone who gets excited about the opportunity to enable scientists to work on world changing challenges in this domain, with a personal interest in the potential applications of the technology that CuspAI is building.
  </li>
  <li>
   Proficiency in the modern ML ecosystem such as PyTorch or JAX, with experience taking ML-driven systems from prototype to production
  </li>
  <li>
   Strong software engineering skills (building systems at scale in a production environment): testing, modular design, CI/CD, and scalable ML operations in production environments
  </li>
  <li>
   If you have a PhD or Masters degree and 4-5 yrs industry experience this would be ideal, but we will also consider you if you have a PhD and slightly less experience in industry
  </li>
  <li>
   You have a proactive builder mentality with a bias toward shipping and iteration
  </li>
  <li>
   Willingness to learn about materials science, and in particular experimental chemistry - to learn the vocabulary of the discipline to meaningfully interact with other stakeholders
  </li>
  <li>
   Experienced in LLM-assisted programming, knowing its strengths and weaknesses thoroughly.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points (But Not Critical):
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience applying ML models specifically for materials science, chemistry, or drug discovery applications
  </li>
  <li>
   Experience with agentic frameworks and building LLM-powered applications
  </li>
  <li>
   Experience with sequential decision-making methods &mdash; Bayesian optimization, active learning, bandits, or reinforcement learning &mdash; applied to real-world systems
  </li>
  <li>
   Advanced agentic-reasoning techniques: planning models, self-improving systems, multi-tool agents, or RLHF/RLAIF workflows
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Considerations
  <br/>
  <br/>
 </strong>
 This role could be based in our
 <strong>
  Cambridge, London, Amsterdam or Berlin offices
 </strong>
 , with the expectation of being
 <strong>
  in the office three days per week
 </strong>
 . Additionally, there may be regular travel required to our other offices for collaboration and project oversight.
 <br/>
 <br/>
 Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world.
 <br/>
 <br/>
 <strong>
  What we offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A competitive salary: We value and reward impact and growth
  </li>
  <li>
   Equity in CuspAI: You have a stake in the success of the company
  </li>
  <li>
   Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays
  </li>
  <li>
   &lsquo;Gold Standard&rsquo; parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together
  </li>
  <li>
   Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth
  </li>
  <li>
   Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques
  </li>
  <li>
   True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world.
  <br/>
  <br/>
 </strong>
 <strong>
  CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace
 </strong>
 . We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law.
 <br/>
 <br/>
 <strong>
  We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team.
  <br/>
  <br/>
 </strong>
 <strong>
  Please let us know If you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate.
  <br/>
  <br/>
 </strong>
</div>


Applied AI/ML Engineer (Agents)

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