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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)

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

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

<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?
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 Jouw rol als Senior Machine Learning Engineer
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 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.
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 Jouw dagelijkse werkzaamheden omvatten:
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   Ontwikkelen en onderhouden van production grade GenAI-oplossingen
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   Prioriteiten bepalen en invloed uitoefenen op de roadmap van het GenAI Lab
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   Operationaliseren en integreren van GenAI-technologie in bedrijfsprocessen, IT en dataplatformen
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   Continu samenwerken met teamleden, domeinexperts en business stakeholders om de meest effectieve oplossingen te realiseren
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   Begeleiden van junior teamleden en bijdragen aan AI Excellence
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 </ul>
 Dit is je team
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 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.
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 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.
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 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.
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 Wat breng
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 jij ons?
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 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.
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 Om succesvol te zijn in deze rol, breng je mee:
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 <ul>
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   Minimaal 5 jaar ervaring als AI/ML Engineer of vergelijkbaar
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   Een masterdiploma met een technische component, zoals Computer Science of Software Engineering
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   Aantoonbare ervaring met het bouwen van production grade GenAI-applicaties (zoals RAG, Agentic AI, etc.)
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   Ervaring met Python
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   Ervaring met Azure en Infrastructure-as-Code
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   Ervaring met ML-libraries, REST API&rsquo;s, microservices (Docker, Kubernetes, etc.)
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   Uitstekende kennis van software-engineeringmethodologie&euml;n en best practices, waaronder coding standards, code reviews, versiebeheer, CI/CD, testen en security
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 Wat krijg je
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 van ons?
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 Natuurlijk hebben we als werkgever jou ook veel te bieden. Dit krijg je van ons:
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 <ul>
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   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
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   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
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   Jaarlijks een individuele en collectieve verhoging conform onze CAO
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   &euro; 1500 per jaar aan inzetbaarheidsbudget dat je naar eigen inzicht mag gebruiken voor bijvoorbeeld trainingen, coaching en cursussen
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   Flexibele vrije dagen: onze collega&rsquo;s mogen zelf (in samenspraak met de manager) bepalen hoe zij met verlof omgaan
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   Een goede werk-priv&eacute; balans
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   Thuiswerkshop om je werkplek thuis optimaal in te kunnen richten, uiteraard met een mobiele telefoon &amp; laptop
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   50% korting op onze producten en diensten, zodat je voordelig kunt internetten, bellen &eacute;n streamen
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   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
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   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
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   Uitstekende pensioenvoorwaarden: een totale inleg van 23% van je pensioengevende salaris waarvan KPN 16% inlegt en jij 7%
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 Ons geloof in technologie is groot. Dit wordt n&oacute;g krachtiger samen met menselijk contact, daarom ontmoeten we je graag!
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 Wil je meer weten? Neem contact op met onze recruiter Szilvia Haraszti via szilvia.haraszti@kpn.com
</div>


Senior Machine Learning Engineer

Nebius

<div>
 <p>
  <strong>
   Why work at Nebius
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  Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
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  <strong>
   Where we work
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  Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&amp;D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&amp;D team.
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   The role
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  We&rsquo;re looking for a Senior Backend Software Engineer to help develop our hyperscaling platform. We have a lot of tasks on Golang and little less on Java and Python.
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  You&rsquo;re welcome to work from our office in Prague, Berlin or in Amsterdam, hybrid or remotely.
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   In this position, your responsibility will be to:
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  Developing fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.
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   We expect you to have:
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   5+ years of professional software engineering experience
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   Excellent knowledge of Golang or you are ready to quickly switch to this programming language
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   Ability to write reliable code and dig into complex problems
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   Teamwork-oriented approach
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 </ul>
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   It would be an added bonus if you had:
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   Experience designing high-load and scaling services
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  <em>
   We conduct coding interviews as part of the process.
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  <strong>
   What we offer
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   Competitive salary and comprehensive benefits package.
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   Opportunities for professional growth within Nebius.
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   Flexible working arrangements.
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   A dynamic and collaborative work environment that values initiative and innovation.
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 </ul>
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  We&rsquo;re growing and expanding our products every day. If you&rsquo;re up to the challenge and are excited about AI and ML as much as we are, join us!
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</div>


Senior Backend Engineer

TomTom

<div><div>We are seeking an experienced applied science manager or director with a specialized focus on HD mapmaking and Advanced Driver Assistance Systems (ADAS). If you are passionate about leveraging recent advancements in AI to enhance mapping technologies and contribute to the evolution of ADAS, we want to hear from you. This role requires a seasoned professional with a strong background in AI, leading applied science and engineering teams, driving innovation, and delivering scalable solutions</div>
<div></div>
<h3 class="jobSectionHeader"><b>What you'll do:</b></h3><ul>
<li>Lead and manage a team of Applied Scientists, Data Scientists, Software Engineers, ML Engineers dedicated to developing cutting-edge solutions for HD Map making and ADAS applications.</li>
<li>Foster a collaborative and innovative environment that encourages cross-functional cooperation within the team.</li>
<li>Define a compelling long-term vision based on the specific needs of our mapping and ADAS technologies.</li>
<li>Translate the vision into engineering roadmaps, guiding the team to deliver high-impact solutions.</li>
<li>Act as a technical supervisor, providing insights into scientific direction and technical design documents.</li>
<li>Steer development efforts to ensure alignment with the overall vision and optimize project delivery.</li>
<li>Recruit and develop top talent, offering technical and career development guidance to scientists and engineers.</li>
<li>Drive innovation within the team, pushing the boundaries of autonomy for both online and offline solutions</li>
<li>Serve as a practitioner and thought leader, contributing to the team's technical excellence</li>
</ul>
<div></div><h3 class="jobSectionHeader"><b>What you'll need:</b></h3><ul>
<li>Proven experience in building scalable AI/ML systems ideally in map making, autonomy or robotics.</li>
<li>Proficiency in programming languages such as Python and/or C++, and programming tools and deep learning frameworks.</li>
<li>An in-depth understanding of sensor data processing and multimodal sensor fusion, especially in working with Cameras and LiDAR.</li>
<li>Leadership experience in managing large teams of engineers and scientists, people managers.</li>
<li>Track record of hiring and mentoring engineers, with a successful history of developing junior members in their career.</li>
<li>PhD in Computer Science or related fields with a focus on Machine Learning</li>
</ul>
<div></div><div><b>What we offer<br>
</b></div><div></div><br>
<div>A competitive compensation package, of course.</div><div></div><div><br>
Time and resources to grow and develop, including a personal development budget and paid leave for learning days, as well as paid access to e-learning resources such as O&rsquo;Reilly and LinkedIn Learning.</div><div></div><div><br>
Time to support life outside of work, with enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities.<br>
</div><div></div><br>
<div>Work flexibility, where TomTom&rsquo;ers, in agreement with their manager and team, use both the office and home to focus, collaborate, learn and socialize. It&rsquo;s all about getting the best out of both worlds &ndash; we ask TomTom&rsquo;ers to come to the office two days a week, and the remaining three are free to be worked in either location.</div><div></div><div><br>
Improve your home office with a setup budget and get extra support with a monthly allowance.</div><div></div><div><br>
Enjoy options to work from your home country and abroad for a set number of days each year, to visit family and friends, or to simply explore the world we&rsquo;re mapping.</div><div></div><div><br>
Take the holidays you want with a competitive holiday plan, plus an extra day off to celebrate your birthday.</div><div></div><div><br>
Join annual events like our Hackathon and DevDays to bring your ideas to life with talented teammates from around the world.</div><div></div><div><br>
Become a part of our inclusive global culture and have the chance to collaborate with a diverse community &ndash; we have over 80 nationalities at TomTom!</div><div></div><div><br>
Find out more about our global benefits and enjoy additional local benefits tailored to your location.</div><div></div><div><b><br>
Meet your team</b></div><div></div><div><br>
We are the ADAS &amp; ADS Product Unit, leading the production of TomTom&rsquo;s HD maps and ADAS technology.
</div><div>In a diverse team of applied scientists, engineers, data scientists, and more, equipped with a broad array of expertise, you&rsquo;ll collaborate on groundbreaking location-based technologies and applications.</div><div>
More specifically, you&rsquo;ll be at the forefront of the creation of advanced HD maps. You&rsquo;ll also help update these in real-time, ensuring our maps are pushing the world forward instantly. These maps will then go on to empower the largest car manufacturers, transportation giants, and major tech companies around the world.<br>
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<div><b>At TomTom...</b></div><div></div><div><br>
You&rsquo;ll help people find their way in the world. In 2004, TomTom revolutionized how the world moves with the introduction of the first portable navigation device. Now, we intend to do it again by engineering the first-ever real-time map, the smartest and most useful map on the planet.</div><div></div><div><br>
Work with a team of 3,300+ unique, curious and passionate problem-solvers. Together, we&rsquo;ll open up a world of possibilities for car manufacturers, enterprises and developers to help people understand and get closer to the world around them.</div><div></div><div><b><br>
After you apply</b></div><div></div><div><br>
Our recruitment team will work hard to give you a meaningful experience throughout your journey with us, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-up actions will be thorough, from assessments and interviews all the way through onboarding. To find out more about our application process, check out our hiring FAQs.</div><div></div><div><b><br>
TomTom is an equal opportunity employer</b></div><div></div><div><br>
TomTom is where you can find your place in the world. Every day we welcome, nurture and celebrate differences. Why? Because your uniqueness is what makes you, <i>you</i>. No matter your culture or background, you&rsquo;ll find your impact at TomTom. Research also shows that sometimes women and underrepresented communities can be hesitant to apply for positions unless they believe they meet 100% of the criteria. If you can relate to this, please know that we&rsquo;d love to hear from you.</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Director Applied Science ADAS

RELX Group

<p></p><div><p><i>Are you excited by the opportunity to design advanced AI systems that accelerate scientific discovery and unlock knowledge at scale?
</i></p><p></p><p><i>Would you enjoy building production-ready solutions using machine learning, NLP, and generative AI to create meaningful impact for researchers and professionals?
</i></p><p></p><p><b>About our Team
</b></p><p>Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today&rsquo;s modern clinical environment. We have a very stable product that we&rsquo;ve worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality.
</p><p></p><p><b>About the Role
</b></p><p>In this role, you will design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM-based approaches to build scalable, reliable systems with real user impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions.
</p><p></p><p><b>Responsibilities
</b></p><ul><li>Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications.
</li><li>Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question answering, and evidence-grounded insight generation.
</li><li>Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and AI techniques.
</li><li>Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows.
</li><li>Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability.
</li><li>Write production-ready Python code and partner with engineering teams to deploy solutions at scale.
</li><li>Provide technical leadership and mentoring to support high-quality delivery and continuous improvement.
</li></ul><p></p><p><b>Requirements
</b></p><ul><li>Practical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field.
</li><li>Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments.
</li><li>Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible AI practices.
</li><li>Strong Python skills and solid machine learning fundamentals.
</li><li>Experience working with large-scale text or content-rich datasets and modern AI/ML frameworks.
</li><li>Experience with RAG, semantic, vector, or hybrid search, along with experimentation and evaluation approaches that measure user impact.
</li><li>Familiarity with cloud platforms and modern software engineering practices.
</li><li>Strong communication, collaboration, and mentoring skills.
</li></ul><p></p><p><b>Work in a Way That Works for You
</b></p><p>We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
</p><p></p><p><b>Working Pattern
</b></p><p>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
</p><p></p><p><b>About the Business
</b></p><p>A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world
</p>Primary Location Base Pay Range: NLD Amsterdam (Radarweg) &euro;59,300 - &euro;98,800. This role is covered by the Collective Labor Agreement Publishing Industry.
<p><b>We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click </b><b>here </b><b>to access benefits specific to your location.
</b></p><p></p><p>We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
</p><p></p><p><b>Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams </b><b>here </b><b>.
</b></p><p></p><p>Please read our Candidate Privacy Policy .
</p><p></p><p>We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
</p><p></p><p><b><i>USA Job Seekers:
</i></b></p><p>EEO Know Your Rights .</p></div><p></p>

Senior Data Scientist II

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