Senior AI Engineer I

Join Loop, a leader in auditory innovation! Loop Earplugs is revolutionizing the way individuals engage with their environment, allowing them to enjoy life at their preferred volume. In 2024, we reached a significant milestone by selling 14 million earplugs, earning the title of ‘The Best Earplugs for Concerts’ from The New York Times, and broadening our pro…

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.

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.

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.

Why Join Nebius?Nebius is at the forefront of revolutionizing cloud computing to empower the global AI economy. We develop cutting-edge tools and resources that enable our clients to tackle real-world challenges and revolutionize industries, all while minimizing infrastructure costs and reducing the necessity for large in-house AI/ML teams. Our workforce operates at the forefront of AI cloud infrastructure, collaborating with some of the most experienced and innovative leaders and engineers in the industry.Our Work EnvironmentBased in Amsterdam and publicly listed on Nasdaq, Nebius boasts a global presence with R&D centers across Europe, North America, and Israel. Our diverse team of over 1400 professionals includes more than 400 highly skilled engineers excelling in both hardware and software development, complemented by an in-house AI R&D team.The RoleThis opportunity is part of Nebius AI R&D, a team dedicated to applied research in AI. Recent applied research published by our team includes:Applying reinforcement learning for agent training in long-context multi-turn scenariosDramatically scaling task data collection to enhance reinforcement learning for software engineering (SWE) agentsDeveloping a decontaminated evaluation system for SWE agents that is consistently updatedInvestigating test-time guided search methods to create more powerful agentsThe outcomes of our research frequently pave the way for collaboration with adjacent teams, allowing practical applications of our findings.We are currently seeking experienced ML engineers at the senior and staff levels to engage in research projects that include:Guided search and reinforcement learning for agentic systemsReinforcement learning applications for reasoning modelsWeb-scale data collection for agent trainingEfficient model distillation techniquesKey Responsibilities:Conducting experiments to identify effective methods for training large language models based on interaction traces with various environmentsExploring guided generation and search methodologies within trajectory spacesDevising innovative strategies for mining relevant data at web scale

Why Join Nebius?At Nebius, we are pioneering a transformative approach to cloud computing, empowering the global AI economy. Our innovative solutions enable customers to tackle real-world challenges and revolutionize industries without incurring hefty infrastructure expenses or the necessity of assembling extensive in-house AI/ML teams. Our team operates at the forefront of AI cloud infrastructure, collaborating with some of the industry's most seasoned and inventive leaders and engineers.Our Work EnvironmentBased in Amsterdam and publicly traded on Nasdaq, Nebius boasts a global presence with R&D centers in Europe, North America, and Israel. Our diverse workforce of over 1,400 includes more than 400 highly skilled engineers with profound expertise in both hardware and software engineering, complemented by a dedicated AI R&D team.The RoleNebius is seeking a Senior Hardware Engineer specializing in R&D, GPU, and AI, to join our team at our Amsterdam data center.Your Key Responsibilities:Design, deploy, and maintain high-performance cloud systems optimized for AI workloads.Conduct hardware R&D tests and experiments in our data center.Troubleshoot and resolve intricate system issues involving GPUs, networking (InfiniBand, NVLink), PCIe, and server infrastructure.Perform thorough investigations into hardware, software, and networking challenges to ensure peak system performance and reliability.Develop testing methodologies for advanced GPU, InfiniBand, and compute systems to benchmark and validate performance metrics.Collaborate with cross-functional teams to enhance system efficiency and reliability.Continuously monitor system performance and fine-tune configurations for optimal efficiency.

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.

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.

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.

Why join Nebius?Nebius is pioneering a transformative era in cloud computing tailored for the global AI economy. We empower our clients with innovative tools and resources that tackle real-world challenges and revolutionize industries, eliminating the need for substantial infrastructure investments or extensive in-house AI/ML teams. Our team operates at the forefront of AI cloud infrastructure, collaborating with some of the most visionary leaders and engineers in the sector.Our Work EnvironmentHeadquartered in Amsterdam and publicly traded on Nasdaq, Nebius boasts a global presence with R&D centers in Europe, North America, and Israel. Our workforce exceeds 1,400 employees, including over 400 highly skilled engineers with profound expertise in hardware and software engineering, complemented by an in-house AI R&D team.The RoleIn a landscape where AI evolves faster than any single product team can monitor, Nebius is expanding its offerings in serverless computing, databases, MLflow, MLOps, Physical AI, and Healthcare Life Sciences (HCLS). Our clients arrive with complex, real-world ML workloads that require more than just documentation; they need hands-on expertise. This role aims to bridge that gap: a professional who can prototype feasible solutions, guide clients through their initial 90 days, and integrate valuable field insights into our product roadmap.This position lies at the crossroads of advanced ML engineering and product innovation. You will spend approximately half of your time engaging directly with clients, facilitating their transition from proof of concept to production, conducting technical onboarding, and working collaboratively on their ML stack. The remaining time will be devoted to building prototypes of applied AI use cases that demonstrate the platform's capabilities, diving deep into emerging techniques ahead of the curve, and translating that expertise into actionable product direction.This is not a presales position; you will be actively involved in hands-on work every day.Success Metrics after 12 MonthsThe product and sales teams have a collection of refined, functional demos readily available for client calls.Enterprise clients you have engaged with experience significantly quicker time-to-value compared to those who haven’t.At least 2–3 product enhancements have been implemented based on your feedback.The team is well-informed about the future trajectory of applied AI, partly due to your insights.Your Responsibilities Include:Develop prototypes and demos across the product suite—encompassing serverless inference, databases, MLflow, MLOps, and vertical applications in Physical AI and HCLS—that become strategic assets for showcasing our capabilities and accelerating client engagement.

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.

At Monks, we prioritize your safety during the recruitment process. Please be vigilant against fraudulent job postings that may misuse our name. All applications should be submitted through our official website (monks.com/careers).About the RoleWe are seeking a dedicated Account Director for our technology portfolio based in Amsterdam. In this pivotal role, you will be the key liaison for our clients, managing their day-to-day needs while fostering strong relationships and gaining a deep understanding of their business objectives. Your mission will be to ensure that Monks consistently delivers exceptional value, leveraging your passion for new technologies to create innovative and impactful work.ResponsibilitiesOversee the effective delivery of Monks projects, ensuring they are completed on time and within budget.Actively address complex client issues and manage escalations with professionalism.Proactively identify opportunities to introduce Monks solutions that drive client growth.Manage client revenue by recognizing, cultivating, and converting commercial opportunities.Collaborate closely with internal teams to align efforts and translate client needs into actionable briefs and scopes of work.Own client reporting to track profitability and project outcomes, offering strategic insights and recommendations.Lead the client onboarding process to maximize service benefits.Facilitate the collection and utilization of market and client insights to refine services and inform strategic directions.Mentor junior team members, potentially overseeing the performance of a small sub-team.

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.

Established in 2015, Shield AI is a pioneering venture-backed deep-tech firm dedicated to safeguarding service members and civilians through innovative intelligent systems. Our cutting-edge products include the V-BAT and X-BAT aircraft, as well as the Hivemind Enterprise and Hivemind Vision product lines. With a global presence across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI's technology plays a vital role in supporting operations worldwide. Explore more about us at www.shield.ai. Connect with Shield AI on LinkedIn, X, Instagram, and YouTube. As a Senior Software Engineer specializing in Autonomy Applications, you will leverage your technical expertise to assist clients during the deployment and utilization of Shield AI's enterprise software solutions. This role requires close collaboration with customers to comprehend their needs and ensure the effective integration of AI and Autonomy developments into their operations.

Join us at Databricks, where our mission is to empower data teams to tackle some of the world's most significant challenges — from revolutionizing transportation to accelerating medical advancements. We achieve this by developing and operating the premier data and AI infrastructure platform, allowing our customers to harness profound data insights to enhance their businesses. Founded by engineers and driven by a customer-centric philosophy, we eagerly embrace every chance to overcome technical hurdles, whether that's crafting next-generation UI/UX for data interaction or scaling our services across millions of virtual machines. And this is just the beginning. Unlike conventional enterprise software, we create and build innovative SaaS products that delight all stakeholders: decision-makers, administrators, and end-users. As a Senior Fullstack Software Engineer, you will collaborate closely with your team and product management to deliver exceptional user experiences. Here are a few of the dynamic teams you could become a part of: SQL Analytics Console: This new product provides Databricks customers with a top-notch experience for Business Intelligence (BI) and executing SQL workloads directly on the data lake. Our team develops the console for SQL Analytics, where users configure, manage, and monitor their SQL usage.Jobs and Workflows: This team supports all asynchronous customer workloads for Databricks, which constitute the majority of our usage. As this demand has surged, we have restructured the system to enhance stability and scalability, while also introducing exciting new features for advanced workflows and customer observability. This team combines frontend, backend, and reliability engineering skills across various projects.Developer Ecosystem: Focused on enhancing the development experience and best practices with external tools, we oversee the core open-source components of the developer ecosystem: the SDK, CLI, and Terraform.Apps Developer Experience: This team is dedicated to making application development on Databricks seamless and enjoyable. We have built an SDK and services tailored for app developers, including our AppKit. Our Codegen sub-team develops tools that ensure apps function perfectly from the start. We are also working on an MCP server for Cursor/Claude Code and developing Skills.

Why join Nebius?Nebius is pioneering a transformative shift in cloud computing to meet the demands of the global AI economy. Our innovative tools and resources empower customers to tackle real-world challenges and revolutionize industries, all while avoiding hefty infrastructure expenses and the necessity for extensive in-house AI/ML teams. Our workforce operates at the forefront of AI cloud infrastructure, collaborating with some of the most seasoned and creative leaders and engineers in the sector.Our Work EnvironmentLocated in Amsterdam and publicly traded on Nasdaq, Nebius has a worldwide presence with research and development hubs across Europe, North America, and Israel. Our dynamic team, comprising over 1400 members, includes more than 400 highly skilled engineers proficient in both hardware and software engineering, along with an in-house AI research and development team.Role OverviewThe CloudGate team is tasked with managing the software aspects of external network connectivity within our cloud infrastructure. We are developing a sophisticated traffic delivery system that supports diverse scenarios such as IPv4 connectivity, Cloud Interconnect, Egress NAT, and a network load balancer, capable of handling tens of millions of packets per second.Our architecture is built on a control plane microservice model utilizing gRPC transport and our proprietary database for data warehousing.Key Responsibilities:Enhance service scalabilityDevelop service functionalities, including support for service endpoints and an expanded range of health check typesOptimize internal architecture to improve interaction with related servicesYour Main Duties Will Include:Building a data plane for Nebius Cloud network servicesEnhancing service performance and reliabilityAutomating intricate cross-service interaction scenariosConducting load testing for services

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.

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.

Established in 2015, Shield AI is an innovative venture-backed company at the forefront of deep-tech, dedicated to safeguarding both service members and civilians through cutting-edge intelligent systems. Our product offerings include the advanced V-BAT and X-BAT aircraft, along with the comprehensive Hivemind Enterprise and Hivemind Vision product lines. With a strong presence across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI's technology is pivotal in supporting global operations. For further insights, please visit www.shield.ai. Connect with Shield AI on LinkedIn, X, Instagram, and YouTube. The Senior Staff Engineer for Software Autonomy Applications will leverage their technical expertise to provide crucial support to customers during the deployment and utilization of Shield AI's enterprise software solutions. This role requires close collaboration with clients to fully understand their unique requirements, ensuring seamless product integration for AI and autonomy development initiatives.

We are seeking a highly skilled Staff AI Engineer to join our innovative team at Stacks in Amsterdam. As a pivotal member of our organization, you will be instrumental in driving the development and enhancement of cutting-edge AI solutions that will shape the future of our products and services. You will work closely with cross-functional teams to design, implement, and optimize AI algorithms, ensuring they meet the highest standards of performance and reliability.The ideal candidate will possess a strong foundation in artificial intelligence and machine learning, along with hands-on experience in deploying AI models in production environments. You will be expected to stay ahead of industry trends and explore new technologies that can enhance our AI capabilities.