Senior AI Engineer I

Mendix builds a low-code application development platform used by organizations worldwide to launch new ideas quickly. Since joining Siemens in 2018, Mendix has blended the scale of a global software company with the flexibility of a fast-growing team. The Solutions Engineer - Core AI position is available in several cities: London, Rotterdam, Amsterdam, Munich, Berlin, Erlangen, Frankfurt, or Stuttgart. This role centers on developing and scaling hybrid agentic workforces by combining low-code tools, AI, data, and system integrations. The goal is to help organizations efficiently create and orchestrate agents and applications. What you will do Design and build customer-facing prototypes and lighthouse projects to test and validate AI-driven integration scenarios. Lead strategic workshops and technical sessions with both customers and internal teams, focusing on agentic AI workflows and advanced integrations. Transform successful customer projects into reusable assets, such as reference architectures, blueprints, accelerators, and scalable patterns. Act as the technical lead for agentic system design, guiding tool selection, orchestration, and multi-agent strategies. Develop and manage complex integration architectures to ensure smooth operation across diverse platforms.

At JetBrains, we are driven by our passion for coding. Since our inception in 2000, we have been dedicated to developing the most powerful and effective tools for developers worldwide. Our innovative solutions automate routine checks and corrections, accelerating the production process and empowering developers to innovate and create.Currently, we are in the process of building advanced services and intelligent tools designed to provide both AI coding agents and end users with profound insights into codebases. Our existing code retrieval service has already demonstrated significant enhancements in agent performance and task execution. We are eager to advance this further by extracting more comprehensive insights beyond mere snippets, across numerous repositories.We seek a talented AI Engineer to design and implement intelligent tools from the ground up, ensuring that coding with agents becomes smarter, quicker, and more dependable.

Join our dynamic team at Adyen as an Engineering Manager for the Protect Core division. In this pivotal role, you will lead a talented group of engineers, driving innovative solutions that enhance our fraud prevention capabilities and ensure a seamless experience for our clients. Your leadership will empower your team to excel in a fast-paced environment, where collaboration and creativity are essential to success.

About Software Improvement Group Software Improvement Group (SIG) helps organizations strengthen their software quality through detailed source code analysis and hands-on consultancy. Our Sigrid platform supports software portfolio governance, giving clients more control over their technology landscape. With guidance from experienced consultants, clients can turn software into a reliable asset instead of a risk factor. Role Overview: AI Research and Development Engineer Based in Amsterdam, this role sits within the CTO Office. The AI R&D Engineer will focus on designing and prototyping AI-driven solutions for software engineering challenges. The work blends experimentation, engineering, and applied research. What You Will Do Develop rapid prototypes and applications powered by AI Run internal experiments using large language models (LLMs), prompt engineering, and AI coding assistants Analyze data and contribute to machine learning projects, especially those related to software quality and development practices This position suits someone who enjoys quickly building and testing new ideas, especially in a team that values experimentation and innovation. Why Join SIG? Work in a small, innovation-focused team with room to experiment Influence SIG’s AI strategy and future product direction See your work shape client-facing solutions and the evolution of our offerings

Join us at Carv as we revolutionize the recruitment landscape with cutting-edge AI technology. As an AI Native Staff Engineer, you will leverage your experience in building autonomous systems to develop and deploy LLM-powered features that work seamlessly at scale.Your role will go beyond mere CRUD operations; you will architect innovative AI-driven solutions that transform product challenges into scalable success. Your expertise will help shape our AI engineering culture and influence the future direction of our technology.Key ResponsibilitiesDevelop Advanced AI Product SystemsDesign and launch AI-enhanced product features from concept to delivery.Architect systems that integrate LLMs, AI agents, and traditional software components effectively.Implement RAG pipelines, structured reasoning flows, and agent-based tools.Continuously enhance system reliability, response times, and cost-effectiveness.Maximize AI Engineering EfficiencyUtilize AI agents to expedite development processes, testing, and architectural decisions.Rapidly prototype and deliver production-quality systems.Establish internal AI tools that amplify team productivity.Pioneer new possibilities with state-of-the-art AI models.Deliver Impactful SolutionsConvert product challenges into efficient AI-enabled solutions.Assess real-world effectiveness through metrics like accuracy, business outcome, and user experience.Focus on production reliability over mere demo quality.Cultivate an AI-Driven Engineering CultureSet high standards for AI usage within the team.Develop practical evaluation and iterative processes.Mentor fellow engineers on AI-focused workflows.Contribute to the long-term technical vision.

Be part of our mission to create innovative digital solutionsAt Riverflex, we are dedicated to engineering impactful digital products that are efficient, scalable, and centered around user needs. As a Full Stack/Product Engineer, you will be an integral member of our dynamic engineering team, tasked with developing high-performance software solutions that facilitate business transformation across various sectors. Your work will involve creating client-facing products, internal tools, and prototypes utilizing contemporary web frameworks, cloud technologies, and data-centric architectures.We seek a curious and proactive engineer who flourishes in agile settings and adopts a user-first approach to tackle technical challenges. If you have a passion for writing clean code, mentoring others, and harnessing technology to deliver meaningful results, we would love to hear from you.Your RoleYou will play a crucial role in designing, developing, and delivering comprehensive digital products, spanning from front-end user interfaces to back-end systems and cloud services. We are particularly interested in candidates with hands-on experience implementing LLM APIs and building RAG applications, including work with embeddings and vector searches.

Role overview The Senior Software Engineer, Core Experiences role at Speechify centers on shaping how users interact with the product. Based in Amsterdam, this position works alongside engineers and designers to deliver improvements that influence the direction of Speechify’s offerings. The work directly impacts the way people engage with Speechify’s core features. What you will do Develop and enhance features central to the user journey Collaborate with colleagues to design, build, and maintain reliable software Offer input that supports the ongoing evolution of the product vision Address changing user needs as they arise Location This position is located in Amsterdam, Netherlands.

Role overview airapps is looking for an AI/ML Engineer to join the team in Amsterdam. The main focus of this position is to build and deploy machine learning algorithms that enhance product features and improve user experiences. Working alongside a collaborative group, this role helps shape technical solutions and takes projects from initial idea through to implementation. What you will do Design and implement machine learning models for practical, real-world use cases Work closely with colleagues to develop algorithms that strengthen airapps services Apply AI and ML expertise to support the company’s technology goals Location This role is based in Amsterdam and requires on-site presence.

At JetBrains, we are passionate about coding. Since our inception in 2000, our mission has been to develop the most powerful and efficient developer tools available. Our tools are designed to automate repetitive tasks, accelerating production and enabling developers to innovate and explore. The AI features integrated into JetBrains IDEs, crafted by the IntelliJ AI team, have swiftly become essential to a developer's workflow. We collaborate with various product teams across JetBrains to infuse cutting-edge AI capabilities that enhance developer efficiency and provide significant value to software engineers. We are excited to welcome a Senior Machine Learning Engineer to our team. In this pivotal role, you will play a key part in realizing our vision of AI assistance throughout the software development lifecycle within JetBrains IDEs. As a member of the ML subteam within IntelliJ AI, you will oversee the end-to-end development of our machine learning systems, defining evaluation metrics, orchestrating context, and customizing AI features to meet the unique needs of product teams.

Join our innovative team as a High-Frequency Trading Core Engineer at 42.com. In this pivotal role, you will work on cutting-edge technologies to develop and optimize trading systems that operate at lightning speeds. You will collaborate with talented engineers and traders to enhance the performance and reliability of our trading infrastructure.

Dataiku is the leading platform for AI success, providing an enterprise orchestration layer for developing, deploying, and governing AI. Within a unified environment, teams can craft and manage analytics, machine learning, and AI agents with the transparency, collaboration, and governance that enterprises demand. Dataiku sits above various data platforms, cloud infrastructures, and AI services, seamlessly connecting the entire enterprise AI stack—enabling organizations to implement AI across diverse environments with centralized oversight.The world's foremost companies depend on Dataiku to operationalize AI, transforming it into a genuine business performance engine that delivers quantifiable value. Explore more about us through the Dataiku blog, LinkedIn, X, and YouTube.Why Join the Engineering Team at Dataiku?At Dataiku, our platform—whether deployed on-premise, in the cloud, or as SaaS—integrates a myriad of data science technologies, reflecting our unwavering commitment to quality and innovation. We harness the best data and AI technologies, selecting tools that genuinely enhance our product. From cutting-edge LLMs to our dedication to open-source communities, you will have the opportunity to work with an exciting array of technologies while contributing to the collective knowledge of global tech pioneers. To learn more about our engineering culture, check out this link.For additional insights into Dataiku’s offerings, explore: Key Capabilities; GitHub; and the Gallery, showcasing example projects (note that editing is limited and regularly reset).Our flagship product, Dataiku DSS (Data Science Studio), is at the forefront of our mission. Interested in seeing it in action? Watch our demo here.

Are you a visionary engineer who has successfully built agentic systems? Have you deployed LLM-powered features into production, distinguishing between impressive demos and scalable, functional solutions? If you find yourself bogged down by mundane CRUD operations, we have an exciting opportunity for you!Join us at Carv as an AI Native Staff Engineer. We are at the forefront of integrating agentic AI systems within the recruitment sector, and we're seeking a seasoned professional who has substantial experience in this domain to join our dynamic team.Key ResponsibilitiesDevelop AI-Driven Product SystemsCreate and implement comprehensive AI-powered product features from concept to deployment.Design architectures that seamlessly integrate LLMs, agents, and conventional software systems.Implement Retrieval-Augmented Generation (RAG) pipelines, structured reasoning flows, and tool-using agents.Enhance the reliability, latency, and cost-effectiveness of our solutions.Leverage AI for Engineering ExcellenceUtilize AI agents to enhance development speed, testing efficiency, and architectural decisions.Rapidly prototype and deliver production-ready systems.Establish internal AI tools to amplify team productivity.Pushing the limits of what current AI models can achieve.Drive Impactful SolutionsTransform product challenges into scalable AI-driven solutions.Evaluate real-world performance metrics like accuracy, business impact, and user experience.Prioritize production resilience over mere demo quality.Cultivate an AI-First Engineering CultureElevate our internal AI utilization standards.Set practical benchmarks for evaluation and iterative improvement.Mentor fellow engineers on AI-native methods and workflows.Contribute to the long-term technical strategy of the organization.Who You AreWe are looking for someone who:Incorporates LLMs into your daily work processes.Has experience creating agents, RAG systems, or AI-powered applications.Values practical reliability over theoretical perfection.Thinks in terms of orchestration beyond just prompts.Regularly experiments with new models and tools.We place less importance on:An academic background in ML.Publishing research papers.Training models from scratch.We value more:Your tangible outputs.Your ability to leverage AI for increased velocity.Your perspective on systems that incorporate AI components.Why Work With Us?At Carv, we are revolutionizing recruitment by placing AI at the center of our product development rather than as an afterthought.Join us, and you will:Collaborate with seasoned SaaS leaders with over 15 years of industry expertise.Gain significant ownership over architecture and AI strategy.Thrive in a high-velocity, high-impact environment.

At JetBrains, we are driven by a passion for code. Since our inception in 2000, we've dedicated ourselves to crafting the most powerful and efficient developer tools available. As AI-driven coding agents become integral to Kotlin development, we are committed to ensuring these tools excel in their purpose. The Kotlin AI Value Stream team plays a pivotal role in how AI agents comprehend, generate, and enhance Kotlin code across diverse platforms, including Android, Kotlin Multiplatform, server-side, web, and desktop applications. We develop evaluation infrastructures, error analysis tools, and post-training pipelines that assess and enhance agent performance on actual Kotlin developer tasks. In your role as a Research Engineer with our team, you will take charge of the complete feedback loop: Analyze failures in Kotlin code generated by agents, devise evaluations to identify those failures, research and implement strategies for improvement, and measure the outcomes. Your contributions will significantly influence how millions of developers interact with Kotlin through AI coding agents.

Are you ready to revolutionize the mortgage industry with innovative technology?At Frits, we believe that mortgage advice can be fundamentally improved. Gone are the dusty reports and lengthy conversations; we utilize intelligent technology to make complex choices understandable for everyone. Generative AI plays a pivotal role in shaping the future of Frits' mortgage advice.As a Fullstack TypeScript AI Engineer, you will translate state-of-the-art LLM technology into robust, secure solutions that empower clients and accelerate mortgage advisors. Given the significant financial implications for clients and stringent regulations, our quality standards are exceptionally high. With the complexity of the subject matter and our ambition to bring generative AI directly to consumers, you will be working at the forefront of what is technologically possible.Your ResponsibilitiesIn your role as Fullstack TypeScript AI Engineer, you will be central to implementing LLM applications within Frits' mortgage advisory platform. You will ensure that intelligent technology provides tangible value to both clients and advisors. Collaborating closely with fellow developers, AI specialists, and mortgage and compliance experts, you will develop AI solutions that are comprehensible, reliable, and effective.Full stack development: Engage in software development across both the front and back end of our AI application stack.Front-end thought leadership: While our multidisciplinary team operates as full stack, each member brings deep expertise in a specific area. You will be our front-end thought leader, elevating user experience, performance, and visual consistency of our applications.Prompt design: Design, test, and optimize effective prompts and guardrails to ensure AI models produce consistently useful, safe, and relevant outputs.Evaluation & quality assurance: Design and implement tests (in collaboration with mortgage experts) for the LLM systems based on extensive test datasets.Monitoring & continuous improvement: Analyze production traces, logs, metrics, and user feedback to identify issues and optimize performance.Collaboration: Work closely with mortgage advisors, compliance officers, fellow developers, and AI specialists to translate domain-specific knowledge, business logic, and compliance requirements into effective LLM solutions.Why Join Us?Make a significant impact from day one: As a Fullstack TypeScript AI Engineer at Frits, you will have the opportunity to leave your mark from the start. No minor optimizations here, but transformative advancements.

Join Altura, a trailblazing SaaS startup that has recently secured Series A funding!At Altura, our mission is to empower organizations to successfully navigate complex bidding processes, including tenders and RfPs. Our innovative AI-driven platform streamlines bid management, transforming it into a seamless and strategic endeavor. By integrating workflows, automating tasks, and enhancing knowledge accessibility, we enable teams to operate with unparalleled efficiency and effectiveness.And this is just the beginning.We are on the path to creating the first AI-powered Agentic Virtual Bid Management Assistant, which aims to fully automate the bid lifecycle. With fresh capital, ambitious goals, and a rapidly expanding team, we are just scratching the surface of what’s possible.If you are passionate about innovation, thrive in collaborative environments, and seek to make a significant impact, we invite you to join our team.Together, let’s shape the future!Role OverviewAs a Senior AI Engineer, you will become an integral part of our high-performing team, responsible for developing the agentic layer that propels Altura's next phase of growth. This is not a role that involves simply integrating prompts into an API; instead, you will design and implement authentic agentic workflows: context-aware, production-grade systems built on our proprietary data graph, establishing a robust technical foundation.You will collaborate within a nimble team, enjoying the freedom to experiment with the latest technologies: Claude Code, Cursor, Copilot, and emerging models as they are released. If it pushes the envelope of innovation, we are all in.You will lead high-impact AI initiatives from inception to execution:From discovery and greenfield prototypingTo model evaluation and multi-model strategyTo production rollout, observability, and ongoing enhancementsIn addition to product capabilities, you will contribute to the development of foundational AI platform components, including context engineering, agent orchestration, evaluation frameworks, tone monitoring, and real-time observability.We prioritize speed, ownership, and genuine technical influence—free from corporate bureaucracy and endless committees.You will deliver AI solutions that are:Dependable in a production environmentScalable across diverse customer basesQuantifiable in terms of impactEconomical by designAdditionally, you will play a key role in defining what exceptional AI engineering entails within a forward-thinking Series A company.

Amigo is looking for an Applied AI Engineer to join the team in Amsterdam. This role centers on developing and enhancing AI-powered features that support the company’s products and services. Key responsibilities Collaborate with colleagues from different departments to design, build, and optimize AI models. Use current AI technologies to address practical challenges faced by clients and stakeholders. Contribute to making sure AI solutions perform well, remain dependable, and support business objectives. Location This position is located at Amigo’s Amsterdam office.

About Flexport Flexport works to simplify international trade, aiming to make it more accessible and efficient for businesses worldwide. Each year, the company helps move over $19 billion in goods across 112 countries. Backed by leading investors, Flexport uses technology and a skilled team to address challenges in global supply chains, impacting business operations, society, and the environment. Role Overview: Staff Software Engineer – Applied AI Flexport’s Applied AI team is building AI agents that anticipate issues, optimize shipment routes, and keep goods moving efficiently. These systems are designed to automate logistics while involving experts at key decision points. Early results show strong promise, and the team is focused on creating supply chains that run with greater autonomy. This position is for those who want to shape the future of global logistics through technology. This role goes beyond standard engineering work. The Staff Software Engineer will identify high-impact problems, design creative solutions, and implement them for freight operators working across 112 countries. What You Will Do Develop and launch end-to-end AI agents that handle real-world logistics tasks, including customs compliance, document processing, and exception management. Work closely with teams across the company to understand challenges, align stakeholders, and drive solutions independently. Move quickly from idea to production, treating each deployment as a learning opportunity. Engage with operators, subject matter experts, and leadership to turn complex, ambiguous problems into practical solutions. Location Amsterdam, Netherlands

Join us at Riverflex to create innovative AI systems that drive real business results!At Riverflex, we don’t just discuss AI—we implement it. As an AI Engineer, you will be an integral part of a close-knit, high-impact team dedicated to developing intelligent solutions that merge cutting-edge software engineering with advanced language models and machine learning techniques. Your contributions will help design and deploy scalable AI systems that enhance next-generation digital products for our clients as well as internal tools.We seek a candidate who possesses an in-depth understanding of large language models (LLMs), fundamental machine learning principles, and AI engineering. You should be adept at transforming theoretical concepts into functional code and excel at the confluence of product development, data analytics, and engineering. If you have experience leading AI project delivery, developing Generative AI applications, and scaling solutions with a focus on quality, this role is tailored for you.Your Role:In this hands-on lead engineer position, you will architect and construct AI-powered services utilizing LLMs, contemporary orchestration frameworks, and robust engineering methodologies. You will collaborate closely with data, product, and software teams to integrate these systems into actionable, real-world applications. A key aspect of your role will involve enhancing our AI capabilities, creating frameworks, accelerators, best practices, and mentoring fellow AI engineers.Key Responsibilities:Develop scalable AI and Generative AI systems using transformer-based models (e.g., GPT, Mistral, Claude) and Retrieval-Augmented Generation (RAG) architectures.Design and implement ML/AI pipelines encompassing model training, evaluation, prompt chaining, embedding retrieval, and context management (MCP protocols).Craft modular, well-tested Python code for AI agents, APIs, and microservices.Adopt ML Ops practices to ensure reproducible training, deployment, and monitoring of models in production environments.Utilize orchestration tools (LangChain, Semantic Kernel, n8n) to implement agent workflows and deliver end-to-end AI experiences.

Ignite the Power of Data!We are thrilled to welcome you to our team! Your expertise is essential in transforming our data and AI foundations into a reality that aligns with our vision. Your contributions ensure that data flows seamlessly through robust systems, empowering a platform that is intelligent, high-performing, and impactful.As a Senior Data / AI Engineer at Effectory, you will be a pivotal architect of the intelligence that drives our operations. You will design, maintain, and enhance the data architecture that fuels our analytics, powers AI functionalities, and enables organizations worldwide to convert employee feedback into actionable insights.Collaboration is key; you will work closely with Product Managers, Data Scientists, and Software Engineers to guarantee high-quality data and the AI models built upon it. Whether you are optimizing data pipelines, deploying machine learning models, or automating workflows, your efforts will ensure our platform scales with clarity, trust, and technical excellence.Your impact at Effectory lies in your ability to turn feedback into insightful data.Your Responsibilities:Design, develop, and refine scalable data architectures that align with business needs and AI/ML objectives.Create and oversee data ingestion pipelines from various sources, ensuring data is clean, structured, and primed for analytics or model training.Prepare data for AI, ML, and advanced analytics by enhancing quality, reliability, and accessibility.Integrate data from APIs, databases, events, and other internal/external sources.Collaborate with Data Scientists to deliver models and AI workflows to production, ensuring deployment, monitoring, and lifecycle management.Automate workflows using CI/CD, orchestration tools, and contemporary DevOps/MLOps practices.Engage with Product, Engineering, and Analytics teams to translate business requirements into technical solutions.Deploy and monitor data pipelines and models using cloud-native tools (preferably Azure).Provide comprehensive documentation, support, and guidance to internal stakeholders and customers.Continuously enhance our tools, workflows, and architecture.Stay updated with emerging data and AI technologies and best practices.Work within an agile, cross-functional team environment aligned with company OKRs.Take ownership of technical decisions and their implications on our product and platform.