junior ai agent engineer student

GAIDE

Are you a sharp, hands-on problem-solver with a technical background? Are you eager to build smart solutions? And are you looking for a part-time role after the summer where you won&rsquo;t just build tools, but actually improve how people work?Then we have a great opportunity for you!About GaideWe are Gaide, the strategic AI partner for SMBs. We guide organizations -step by step - in unlocking the full power of AI. At Gaide, we help with AI transformation from AI strategies identification to training and implementation of tailored solutions &ndash; the result: people can focus on meaningful work. Thus, our goal is to build long-term relationships with our clients to help them apply AI into their core business DNA! Does it sound convincing? - Join Us!What will you do?As a working student you&rsquo;ll help build, test, and improve AI solutions for our clients. You&rsquo;ll help take AI features from idea to production. Think of:<ul><li>Build AI Agents</li><li>LLM integrations</li><li>Building automations and MVPs (Python and low-code platforms).</li><li>Creating business tools and integrations inside clients&rsquo; ChatGPT and Copilot environments.</li><li>Thinking along about practical, high-impact AI use cases.</li><li>Gathering feedback, improving, and iterating.</li></ul>You don&rsquo;t need to be an expert. You do need to be curious, critical, and someone who likes to understand and solve things.What you bring<ul><li>You are currently enrolled in a Bachelor&rsquo;s or Master&rsquo;s program in Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>You have knowledge of coding, AI, and prompting.</li><li>You&rsquo;re eager to learn, work independently, and not afraid to ask questions.</li><li>You have strong critical thinking, analytical, and problem-solving skills.</li><li>You thrive in startup/ fast-paced environment.</li><li>You&rsquo;re solution-oriented and stay positive, even when things don&rsquo;t work the first time.</li></ul>Tools &amp; technologies we work withYou don&rsquo;t need to tick every box here, we&rsquo;re interested in your ability to pick things up quickly.<ul><li>AI &amp; Tooling: API integrations (Azure OpenAI, Anthropic, Voyage), Langfuse, LangGraph</li><li>Backend: Python (FastAPI, Pandas/Polars)</li><li>Frontend: (lightweight): React (Vite) with JavaScript</li><li>Database: PostgreSQL with pgvector; vector DBs (Pinecone, Weaviate, Chroma)</li><li>Infrastructure: Terraform, Docker, GitHub Actions (CI/CD), Azure / GCP</li></ul>What we offer<ul><li>Flexible hours that fit your study (16-32h/week)</li><li>A place where you really learn and make an impact.</li><li>You work with real clients and real projects.</li><li>Hybrid work: partly at our Keizersgracht office in Amsterdam, partly remotely.</li><li>An open, enthusiastic team that wants to grow together.</li><li>Prospect of a permanent role.</li></ul>How to applyInterested? Let&rsquo;s talk.Apply through this link: https://forms.clickup.com/9012069442/f/8cjjh22-55212/IOAGVMZA64CKZD1F4KJob Type: Part-time Contract length: 6 monthsWork Location: Hybrid remote in 1016 Amsterdam Centrum

Junior AI Agent Engineer (student)

Tibber

<div>We're at a pivotal moment for both Tibber and the planet. When joining Tibber, you won&rsquo;t just help scale a forward-thinking tech company &ndash; you&rsquo;ll contribute to a real shift in how people consume electricity. With millions of smart devices connected to the Tibber platform (like electric vehicles and smart thermostats), we have one of the most unique energy trading portfolios on the market.
We&rsquo;re looking for a Senior Ai Platform Engineer to join us in making the energy transition happen &ndash; maybe that&rsquo;s you?
Job Mission
As a Senior AI Platform Engineer, you&rsquo;ll join the Agentic Enablement side of our Platform team and help build the technical foundation for how Tibber adopts and scales agentic systems across engineering.
Your focus will be on the architecture, workflows and trust infrastructure that allow AI agents to safely support software development - from writing and testing code to reviewing changes, triggering workflows and knowing when to involve a human.
This is a platform role, which means the engineers building agents at Tibber are your users. Your success is measured by how quickly and confidently they can move from idea to production without needing you in the room.
This role is for someone who enjoys building reliable systems, thinking deeply about architecture and helping teams adopt new ways of working with confidence.
What you'll do
<ul><li>Contribute to the design and architecture of Tibber&rsquo;s agentic development platform, including orchestration layers, platform integrations, feedback loops and escalation paths, and the developer-facing CLI and onboarding experience.</li><li> 
Take ownership of key platform components, from design and implementation to reliability and continuous improvement.</li></ul><ul><li>
Help define workflows, quality standards and ownership models for how agents can write, test, review and support code.</li><li> 
Help shape safe and reliable agentic workflows, including human-in-the-loop boundaries.</li><li> 
Build trust infrastructure that makes agentic systems observable, secure, reversible and reliable in production.</li><li> 
Work closely with Staff Engineers and the wider Platform team to build on Tibber&rsquo;s AWS, Kubernetes and infrastructure foundations.</li><li> 
Bring people along through clear technical communication, thoughtful collaboration and strong engineering judgment.</li></ul>
What we're looking for
You are driven by impact and know how to turn strategy into execution. You're used to fast-paced environments and thrive when given clear goals and high accountability.
 
 
We believe you'll thrive here if you:<ul><li>
Bring hands-on production experience building and running reliable agentic software systems.</li><li> 
Treat evaluation as a first-class engineering concern, you&rsquo;ve built eval pipelines for non-deterministic systems, whether LLM-as-judge, regression suites, or golden datasets, and know that measuring agent quality in production is an ongoing discipline, not a launch checklist.</li><li> 
Bring hands-on production experience building and running reliable agentic software systems.</li><li> 
Have strong infrastructure knowledge across Kubernetes, Terraform, Infrastructure as Code, and platform networking.</li><li> 
Demonstrate strong software engineering depth in TypeScript, with the ability to own and operate services end-to-end.</li><li> 
Enjoys to communicate technical directions and collaborate with engineering teams to enable adoption, and turn platform capabilities into real impact.</li><li> 
Apply a strong security mindset to agent permissions, least-privilege designs, and blast radius awareness.</li><li> 
Have working knowledge of Model Context Protocol (MCP), evaluation frameworks, or cloud capabilities like AWS Bedrock.</li></ul>
&zwj;️&zwj;️The Tibber Mindset
Tibber exists to drive energy independence - away from fossil dependency. Our tech helps hundreds of thousands of households shift their electricity consumption to more sustainable and affordable hours - from electric vehicles to smart thermostats, all connected to the Tibber platform. We strengthen the resilience of the grid. Not in theory. In everyday life.
We win, fail, and grow together, staying curious and pushing for better every day. AI is shaping how we work - and we're on a journey to make it central to everything we do. The further we go, the more our Tibberinos matter - and yes, that's what we call ourselves!
Started by two founders in 2016. Now 300+ Tibberinos across Stockholm, Oslo, Berlin, Amsterdam, and F&oslash;rde. And we're still just getting started.
You're welcome at Tibber for who you are. We hire for what you can do and how you think - not your background or where you've been. Diverse teams build better products, and we mean that.</div>

Senior AI Platform Engineer

<div>
 Ben jij een Senior Machine Learning Engineer met interesse in het bouwen van Generative AI-oplossingen? Dan biedt deze rol bij KPN jou de kans om jouw AI-engineeringvaardigheden in te zetten binnen een AI-expertiseteam van Data Scientists en Machine Learning Engineers. In ons team werken we samen aan het verkennen, ontwikkelen en toepassen van de nieuwste (Gen)AI-technologie&euml;n. Je komt terecht in een jong, dynamisch team binnen het AI Excellence Center in Amsterdam, waar hybride werken, samenwerking en groeimogelijkheden centraal staan. Klaar om jouw carri&egrave;re naar een hoger niveau te tillen?
 
 
 Jouw rol als Senior Machine Learning Engineer
 
 
 In deze rol ben jij de drijvende kracht achter het ontwikkelen van nieuwe technologie&euml;n tot bouwstenen waarmee de hele organisatie GenAI-usecases kan realiseren. Je gebruikt geavanceerde software en tools om ervoor te zorgen dat deze oplossingen niet alleen werken, maar ook schaalbaar, betrouwbaar en continu beschikbaar zijn.
 
 
 Jouw dagelijkse werkzaamheden omvatten:
 
 
 <ul>
 <li>
 Ontwikkelen en onderhouden van production grade GenAI-oplossingen
 </li>
 <li>
 Prioriteiten bepalen en invloed uitoefenen op de roadmap van het GenAI Lab
 </li>
 <li>
 Operationaliseren en integreren van GenAI-technologie in bedrijfsprocessen, IT en dataplatformen
 </li>
 <li>
 Continu samenwerken met teamleden, domeinexperts en business stakeholders om de meest effectieve oplossingen te realiseren
 </li>
 <li>
 Begeleiden van junior teamleden en bijdragen aan AI Excellence
 
 
 </li>
 </ul>
 Dit is je team
 
 
 Je sluit je aan bij het jonge, enthousiaste Data Science Lab-team binnen het AI Excellence Center, bestaande uit meer dan 30 hoogopgeleide en energieke collega&rsquo;s.
 
 
 Als onderdeel van de AI-community werk je nauw samen met diverse specialisten, waaronder business stakeholders, domeinexperts, data engineers, software engineers, ML engineers, wiskundigen en data scientists.
 
 
 We hebben een hechte en groeiende AI-community van ongeveer 100 mensen uit verschillende teams en afdelingen. Elke maand organiseren we een VrijMiBo, een kennisuitwisseling en leuke activiteiten zoals padel, klimmen of pubquizzen.
 
 
 Wat breng
 
 
 jij ons?
 
 
 Je bent leergierig en flexibel, zowel technisch als persoonlijk. Je bent analytisch sterk en hebt een groot verantwoordelijkheidsgevoel. Je vindt het leuk om zowel technische als niet-technische collega&rsquo;s te betrekken bij je werk.
 
 
 Om succesvol te zijn in deze rol, breng je mee:
 
 
 <ul>
 <li>
 Minimaal 5 jaar ervaring als AI/ML Engineer of vergelijkbaar
 </li>
 <li>
 Een masterdiploma met een technische component, zoals Computer Science of Software Engineering
 </li>
 <li>
 Aantoonbare ervaring met het bouwen van production grade GenAI-applicaties (zoals RAG, Agentic AI, etc.)
 </li>
 <li>
 Ervaring met Python
 </li>
 <li>
 Ervaring met Azure en Infrastructure-as-Code
 </li>
 <li>
 Ervaring met ML-libraries, REST API&rsquo;s, microservices (Docker, Kubernetes, etc.)
 </li>
 <li>
 Uitstekende kennis van software-engineeringmethodologie&euml;n en best practices, waaronder coding standards, code reviews, versiebeheer, CI/CD, testen en security
 
 
 </li>
 </ul>
 Wat krijg je
 
 
 van ons?
 
 
 Natuurlijk hebben we als werkgever jou ook veel te bieden. Dit krijg je van ons:
 
 
 <ul>
 <li>
 Een bruto maandsalaris van minimaal &euro; 5.190 ,- en maximaal &euro; 7.803 ,- afhankelijk van je werkervaring, op basis van 40 uur exclusief 8% vakantiegeld
 </li>
 <li>
 Vaste 13e maand, een deel krijg je maandelijks uitbetaald en een deel in januari van het volgende jaar. &Oacute;f je zet het in voor een FLEX &amp; BOOST doel naar keuze! Klik hier om er meer over te lezen
 </li>
 <li>
 Jaarlijks een individuele en collectieve verhoging conform onze CAO
 </li>
 <li>
 &euro; 1500 per jaar aan inzetbaarheidsbudget dat je naar eigen inzicht mag gebruiken voor bijvoorbeeld trainingen, coaching en cursussen
 </li>
 <li>
 Flexibele vrije dagen: onze collega&rsquo;s mogen zelf (in samenspraak met de manager) bepalen hoe zij met verlof omgaan
 </li>
 <li>
 Een goede werk-priv&eacute; balans
 </li>
 <li>
 Thuiswerkshop om je werkplek thuis optimaal in te kunnen richten, uiteraard met een mobiele telefoon &amp; laptop
 </li>
 <li>
 50% korting op onze producten en diensten, zodat je voordelig kunt internetten, bellen &eacute;n streamen
 </li>
 <li>
 Goede reiskostenvergoeding: je krijgt je OV kosten volledig vergoed of &euro; 0,23 per kilometer als je met de auto reist. Kom je liever op de fiets? Dan kun je aanspraak maken op onze fietsvergoeding &euro; 0,40 per kilometer
 </li>
 <li>
 Mogelijkheid tot het aanschaffen van een leasefiets waar KPN maandelijks aan meebetaalt (bij onbepaalde tijd contract): Van stadsfiets tot e-bike en van racefiets tot speed-pedelec; jij kiest waar je op fietst
 </li>
 <li>
 Uitstekende pensioenvoorwaarden: een totale inleg van 23% van je pensioengevende salaris waarvan KPN 16% inlegt en jij 7%
 
 
 </li>
 </ul>
 Ons geloof in technologie is groot. Dit wordt n&oacute;g krachtiger samen met menselijk contact, daarom ontmoeten we je graag!
 
 
 Wil je meer weten? Neem contact op met onze recruiter Szilvia Haraszti via szilvia.haraszti@kpn.com
</div>

Senior Machine Learning Engineer

neno

<div>
 
 
 Europe&rsquo;s first full-stack AI financial services company
 
 
 
 
 
 
 We merge best-in-class financial technology; banking, payments, invoicing, accounting, payroll and tax with embedded expert advisory services.
 
 
 
 
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 Neno is backed by Firstminute Capital, Motive Partners and angels from Miro, Coinbase, Mollie, Juni, Deel, Navro, Copper, Wise &amp; PayPal.
 
 
 
 
 
 
 The role
 
 
 
 
 
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 
 What this role is not
 
 
 
 
 
 
 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.
 
 
 
 
 
 
 Who we are looking for
 
 
 
 
 
 
 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:
 
 <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>
 
 
 
 
 
 What impact you will have
 
 
 
 
 
 <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>
 
 
 
 
 
 What we give you
 
 
 
 
 
 
 💻 The latest equipment &amp; software licenses to deploy as many agents as you need.
 
 
 🤠 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.
 
 
 🏝 Work from anywhere in the world for 8 weeks a year within a 3-hour timezone
 
 
 💸 A competitive salary &amp; stock options.
 
 
 🏝 25 days of annual leave
 
 
 🥳 Regular socials and company off-sites in questionably exotic destinations.
 
 
 🚀 A huge opportunity for career growth as you help shape a market-defining product and engineering org.
 
 
 
 
 
 
 What you are signing up for
 
 
 
 
 
 
 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
 
 
 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.
 
 
 
 
 
 
 Our Process
 
 
 
 
 
 
 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.
 
 
 
 
 
 Screening interview
 
 
 Technical case challenge &amp; presentation
 
 
 Team interview
 
 
 Values interview
 
 
 Offer
 
 
 
 
 
 *This role does offer sponsorship
 
</div>

AI Engineer

Bain & Company

<div>Please submit your resume/CV in English to be considered for this role.
WHAT MAKES US A GREAT PLACE TO WORK
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.
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.
WHO YOU&rsquo;LL WORK WITH
About the Commercial Excellence practice
 
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/.
WHERE YOU&rsquo;LL FIT WITHIN THE TEAM
About Coro℠
 
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.
 
 
The Impact You'll Have
 
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.
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.
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.
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.
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. 
WHAT YOU&rsquo;LL DO
Build AI-powered tools and products that drive real business outcomes
<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>Build and apply data science and machine learning capabilities
<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>Engineer for real delivery
<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>Thrive in a client-facing consulting environment
<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>Support proposal shaping and scoping: effort sizing, architecture options, risk assessment, and delivery roadmaps. 
ABOUT YOU
Core engineering and AI application skills
<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>Cloud, platform, and production delivery experience
<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>Breadth of knowledge across data science and machine learning
<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>Delivery mindset and consulting skills
<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>Preferred
<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>U.S. COMPENSATION INFORMATION
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).
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:
<ul><li>In Massachusetts, New York, District of Columbia, Georgia, Illinois, Texas, Washington, and California, the good-faith, reasonable annualized full-time salary range for this role is between $128,500-$171,500; 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>
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.
<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>
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.
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.
Please submit your resume/CV in English to be considered for this role.</div>

Expert Consultant, Coro, AI Engineer

Amsterdam Data Collective

<div>Who we are
ADC is a Boutique Data and AI consultancy with offices in the Netherlands, Sweden, and Denmark, and an award-winning data design studio (CLEVER&deg;FRANKE) embedded in the group. We help organisations turn data and AI into real impact, leading a mission to accelerate the responsible use of Data and AI. We bring the full data value chain under one roof: from strategy and engineering to analytics, data science, and design. This way, we turn complex data into clear roadmaps, scalable foundations, AI-powered tools, and experiences people actually enjoy using.
We are a collective of statisticians, designers, PhDs, and agentic AI engineers with deep expertise in the industries we serve: financial services, life sciences, healthcare, the public sector, retail, agriculture, and transportation. We do not arrive with generic tools and a slide deck. We walk in, work alongside the people who know the organisation best, and build solutions that actually run.
We call ourselves Wayfinders. Our clients trust us to navigate complexity and make it real: turning ambition into action in environments where the margin for error is small and the consequences of getting it wrong are real, for customers, employees, supply chains, and the bottom line. 
Build and Scale the AI Solutions That Drive Real Business Impact
Our Technology &amp; Innovation team is growing, and we are looking for a Data Engineer who is curious, technically driven, and eager to grow with us. As a Data Engineer, you will design and build scalable data pipelines that turn complex, high-volume datasets into reliable, production-ready foundations for engineering and analytics.
You'll be part of a true collective, working alongside consultants, data engineers, and AI specialists. 
Where you'll make an impact 
Data Pipeline Development &amp; Engineering<ul><li>
Design, build, and maintain scalable data pipelines</li><li>
Work with complex, high-volume, and heterogeneous datasets, ensuring data quality, traceability, and reproducibility.</li><li>
Develop data solutions on cloud platforms (AWS, Azure, GCP) that follow modern engineering and security best practices.</li></ul>
Technical Delivery &amp; Tooling<ul><li>
Contribute to and implement solutions using modern data engineering frameworks.</li><li>
Support projects end-to-end, from early discovery and design through to production deployment.</li></ul>
Collaboration &amp; Collective Development<ul><li>
Collaborate closely with data engineers, data scientists, AI engineers, and client stakeholders to co-create solutions that work in practice.</li><li>
Share knowledge internally and contribute to ADC's thought leadership in data and AI.</li></ul> 
What You Bring 
At ADC, we&rsquo;re not just consultants: we&rsquo;re leading experts in Data &amp; AI using our expertise in AI, Data and Cloud Engineering. What unites us is a shared way of working: breaking down complex challenges to change how organisations operate.<ul><li>
2+ years of experience as a Data Engineer, ideally gained in consulting or project-based work</li><li>
A solid foundation in AWS/Azure/GCP, Python, data modelling, testing and monitoring in production environments</li><li>
A quantitative academic background: AI, Machine Learning, Mathematics, Econometrics, Data Science, Computer Science, Physics or related field</li><li>
The ability to communicate with anyone in the room, breaking down complex ideas for technical and non-technical audiences
</li><li>A proactive and entrepreneurial mindset: you&rsquo;re eager to solve problems, innovate, and drive change</li><li>
A collaborative spirit: You believe the best solutions come from diverse perspectives and supporting each other to raise the bar.
</li><li>Ability to work at the intersection of science, engineering, and business</li><li>
Fluency in English.</li></ul>
This is an ambitious junior role, and we don&rsquo;t expect you to have mastered everything from day one. If you&rsquo;re excited about the topics above and believe you can add value or want to learn more, we&rsquo;d be very happy to receive your application.
What&rsquo;s in it for you
At ADC, you&rsquo;re part of the collective from day one. We want you to grow, experiment, and shape your own path while working on projects that matter. That means:
<ul><li>Impact you can point to: You&rsquo;ll see your work in action and our projects change how organisations make decisions
</li><li>Real responsibility, real support: You&rsquo;ll work alongside experienced experts from the start, learning by doing with mentorship and feedback built in
</li><li>The freedom to try new things: Spot a better way to build something? A smarter process? We want people who challenge the status quo
</li><li>Collective Week: Once a year, we go on a workation with the whole ADC team. We work on pro bono projects, explore new ideas, and make the kind of memories you&rsquo;ll want to talk about
</li><li>Ownership opportunities: We offer a competitive salary and bonus structure, plus the opportunity to invest in the company and become a co-owner once specific conditions are met. We mean it when we say collective
</li><li>A vibrant culture: Daily lunches, Friday drinks, sports, social events: a culture you&rsquo;ll notice from day one
</li></ul>What to do next
If you believe in building with heart, thrive on collaboration, and want to grow with a team that challenges and supports you, we want to meet you! If this sounds like your next challenge, apply through the link below.
<ul><li>Amsterdam Data Collective is an equal opportunity employer. To shape a better future, we value diversity and promote equality. No characteristics are discriminated against, as indicated in Directive 2000/78/EC. We encourage and welcome all applications. Additional arrangements or adjustments to support your application can be discussed further.</li></ul></div>

Consultant | Data Engineer

Cognizant

Location: Amsterdam, Netherlands
 About Cognizant Digital Engineering
 Cognizant is a global technology and professional services company that helps organizations modernize technology, reimagine processes, and transform customer experiences at scale. Within our Digital Engineering practice, we combine deep engineering expertise with cutting-edge technologies such as cloud, data, and AI to build innovative, scalable digital solutions.
 Our teams operate in a fast-paced, collaborative environment where innovation and continuous learning are at the core. You will have the opportunity to work on advanced AI-driven solutions for leading financial services clients, shaping the next generation of intelligent, secure, and customer-centric digital platforms.
 About the Role
 You will be part of multidisciplinary teams working alongside proposition managers, journey experts, UX/UI designers, data analysts, developers, architects, business analysts, and product owners. We value pace, ownership, and impact. Together, we are shaping the future of our organization with strong propositions, smart products, and digital experiences that truly make a difference for young people.
 Your Role
 As a Solution Architect – AI Agents & Integration, you are responsible for defining the end-to-end solution architecture that enables domain-specific AI agents to operate safely, reliably, and coherently within the broader banking landscape. These AI agents power new customer-facing features for Gen Z and are integrated into a central AI agent that orchestrates conversations, context, and execution across channels and domains.
 You ensure that innovation in AI aligns with enterprise architecture principles, platform capabilities, and regulatory requirements. You collaborate closely with business analysts, product owners, engineers, platform teams, domain architects, and risk stakeholders to guide solutions from concept through to production.
 Key Responsibilities
 Design end-to-end solution architectures for domain-specific AI agents
 Translate business and product intent into scalable architectural designs across channels, AI agents, integration layers, and core systems
 Define architectural boundaries and interaction patterns between agents, systems, and platforms
 Ensure secure, compliant, and traceable handling of customer data
 Align solution designs with enterprise architecture standards and platform capabilities
 Provide architectural guidance and support to delivery teams
 Evaluate emerging technologies in conversational AI and agent orchestration
 Safeguard non-functional requirements including security, privacy, resiliency, performance, and explainability
 Your Profile
 You are a senior Solution Architect with a strong track record in complex enterprise environments. You combine strategic thinking with hands-on architectural expertise and have the ability to balance innovation with regulatory and operational realities. You are a clear communicator who can align stakeholders and drive architectural quality across domains.
 Required Skills & Experience
 Extensive experience as a Solution Architect in a large, complex enterprise environment (preferably within financial services)
 Strong ability to bridge business strategy, product needs, and technical realization
 Experience working within Agile delivery models
 Proven ability to balance innovation with regulatory, risk, and operational constraints
 Excellent stakeholder management and communication skills
 Strong ownership mindset for architectural consistency and long-term coherence
 Technical Expertise
 End-to-end solution architecture across digital channels, integration layers, and backend systems
 Architectural understanding of AI-agent concepts such as orchestration, context sharing, decision flows, and guardrails
 API design, event-driven architectures, and service-based integration patterns
 Cloud and enterprise platform architecture concepts
 Knowledge of security, privacy, risk, and compliance requirements within banking
 Ability to create and maintain architectural artifacts and documentation
 Experience with conversational AI platforms or AI-enabled customer journeys is a strong plus
 What We Offer (Netherlands)
 Competitive salary
 Access to Udemy and Cognizant Academy
 NS business card
 25 paid holidays
 Laptop and smartphone
 Pension scheme
 Technology-driven organization
 Open team spirit
 International environment
 Contact the Recruiter
 Bill Hilhorst
 Email: Bill.Hilhorst@cognizant.com

Solution Architect – AI Agents & Integration

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