Senior Forward Deployed Engineer (AI)

We are hiring a Senior AI Engineer for a small AI consulting business building production LLM systems for technical client teams.

This is a forward deployed engineering role across client projects that usually run for 6 to 12 months. The role is mainly hands on coding, typically 60 to 80 percent engineering work, and sometimes closer to 90 percent. You will also join client calls, support product discovery, translate client problems into technical plans, and integrate with client systems.

You will build LLM systems that work with real users, real data and real production environments. This includes prompts, evals, RAG pipelines, agents, APIs, data workflows and cloud deployment.

We are looking for someone with strong software engineering fundamentals, ideally around 10 plus years of experience. You should have excellent Python, experience building LLM products using OpenAI, Anthropic, Gemini or similar APIs, and strong production deployment experience with Docker and AWS, Azure or GCP.

The most important skill is evals. You should be able to test, trace and measure LLM output quality, build evaluation pipelines, use observability tools, and understand whether system performance is actually improving.

You should also be comfortable breaking complex AI tasks into smaller reliable steps, knowing when a single LLM call is enough and when a workflow or agent approach is needed.

Strong English communication is important, as you will work directly with technical client teams. German is helpful but not required.

Nice to have experience includes RAG, agent frameworks, fine tuning, self hosting open source models, CI and CD pipelines, automated testing, infrastructure as code, AI consulting, product companies, senior freelance work or hands on CTO style roles.

The role is fully remote within Germany, with optional coworking seats, quarterly offsites and occasional client travel up to around 10 percent.