> Markdown version of [/jobs/ext/4014892-ai-engineer-python-llm](https://www.wearedevelopers.com/jobs/ext/4014892-ai-engineer-python-llm). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - Python & LLM - **Company:** Pauwels Consulting - **Location:** Brussel, Belgium (Remote available) - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, User Authentication, Automation of Tests, Cloud Computing, Computer Programming, Continuous Integration, Data Security, Python (Programming Language), Systems Integration, Data Logging, Large Language Models, Agentic-AI, Git, AI Platforms, Infrastructure Automation Frameworks, Machine Learning Operations, Software Version Control, Api Management - **Published:** October 30, 2026 - **Apply:** https://europa.eu/eures/portal/jv-se/jv-details/Mjk4NDhjZDctOTM3MS00ZTMwLTllNjMtNGJiNjRkYmQ3MzEyIDM?lang=en ## About the Role * You bring 5+ years of hands-on experience as a software, platform, or ML Engineer. * You possess strong programming skills in Python and Java. * You have practical knowledge of LLMs, embeddings, retrieval techniques, and AI agents. * You have experience with APIs, authentication, containers, and automated testing. * You possess expertise in CI/CD, Git, Infrastructure as Code, and observability. * You're attentive to security, privacy, and operational reliability standards. * You're proactive and solution-oriented with strong communication and advisory skills. * You are active in Dutch and French with a passive knowledge of English. Nice to Haves * Knowledge of the public sector or G-Cloud context. * Ability to provide a strategic vision on AI implementation in public services. ## Description * Implement AI services, agents, retrieval solutions, and API integrations. * Build reusable components for model access, prompting, context management, and logging. * Establish automated test and evaluation sets for quality, security, performance, and cost management. * Apply CI/CD and MLOps/LLMOps practices for version control, deployment, and monitoring. * Provide technical support for sandboxes and proofs of concept to ensure production readiness. * Collaborate with data and platform teams to ensure secure data flows and system integration.