We are looking for a highly experienced Senior GenAI & MLOps Engineer to join our client’s team to help fulfill their growing Generative AI use-case backlog. In this role, you will be a key driver of the GenAI use-case funnel. You will provide strategic assistance and architectural advice on business proposals during their early stages, lead the design and implementation of solutions in later stages, and ensure seamless operational handovers. If you are passionate about putting cutting-edge AI models into stable, production-grade systems, we would love to hear from you.
As a Senior GenAI & MLOps Engineer, you are responsible for bridging the gap between advanced machine learning concepts and robust software engineering. You will own the technical direction of the GenAI initiatives, making sure they are scalable, secure, and deliver real business value.
Act as a technical advisor during early-stage business ideation, assessing the viability of GenAI initiatives.
Design and implement end-to-end GenAI application architectures and pipelines.
Develop robust, clean, and highly maintainable Python codebases.
Deploy, operate, and monitor AI applications, integrating modern MLOps best practices.
Lead high-level design decisions and align technical strategies with business goals.
Manage stakeholders effectively, translating complex AI concepts for non-technical business partners.
Design and build applications leveraging modern GenAI/LLM frameworks (e.g., LangChain) and Azure AI services.
Ensure code quality by championing clean code principles, unit testing, and design patterns.
Build CI/CD and MLOps pipelines to support continuous integration, testing, and deployment of machine learning assets.
Facilitate the final stages of the project lifecycle by coordinating and executing thorough operational handovers.
You are a senior-level technical professional who thrives on autonomy and technical leadership. You are not just a developer, but a collaborative partner who can discuss business proposals with non-technical stakeholders and then turn those discussions into production-ready software.
Extensive Python coding experience with a strong software engineering foundation (clean code, design patterns, testing).
Deep experience developing and operating machine learning/artificial intelligence applications in enterprise environments.
Hands-on expertise with LLM frameworks and orchestrators (e.g., LangChain or equivalent toolchains).
Strong working experience with Cloud AI services, particularly Azure AI services (Azure OpenAI, Azure Machine Learning).
Proven track record of taking the lead on critical system design and architectural decisions.
Expertise level: Senior/High-level, with plenty of relevant, practical experience in AI and MLOps engineering.
Strong knowledge of fundamental AI and Machine Learning concepts, specifically Generative AI application design.
Exceptional stakeholder management and communication skills.
Solution-oriented, proactive mindset with the ability to lead other developers and align project members.
Since 2000 we provide professional solutions to organizations ranging from tech start-ups to global players. From our offices in Amsterdam and London we have built an international and local network of skilled employed professionals and contractors fuelled by our passion for connecting skills with projects. Over the years we have fulfilled over 1700 requirements and nowadays we consistently have 250+ professionals recruited and relocated from 14 countries allocated to various projects. Our strength is the way that we see and treat people. This will always be a key factor in our strategy for many years to come.
