Nathan Wills

Senior AI Engineer, Production LLM SystemsWe are hiring a Senior AI Engineer to build production grade LLM systems for real client environments. This is a hands on role for someone who has moved beyond prototypes and knows how to design, ship and improve AI products that work reliably in production.Responsibilities• Design and build LLM applications, agentic workflows, RAG pipelines and backend services.• Build with Python, FastAPI, LangGraph, LangChain, vector databases and APIs from OpenAI, Anthropic, Gemini or similar providers.• Own AI evaluation and reliability, including output testing, failure tracing, quality measurement and regression workflows.• Improve prompts, debug retrieval, monitor system behaviour and make LLM systems observable in production.• Work closely with clients to turn unclear business problems into practical technical solutions.• Support discovery, technical scoping, architecture decisions and hands on delivery across client projects.What we are looking for• Experience building production LLM systems, not just prototypes or demos.• Strong hands on Python and backend engineering experience.• Experience with RAG, agents, evals, observability and LLM application reliability.• Familiarity with Docker, cloud deployment and modern software engineering practices.• Ability to communicate clearly with technical teams, founders and client stakeholders.• Someone who enjoys system design, technical problem solving and moving quickly in small teams.Location• Remote within Germany, with occasional travel.

Product Lead, AI Agents and Platform Berlin hybrid We are hiring a Product Lead for a Berlin based AI studio building AI agents for German SMEs and larger organisations. The company helps clients identify, build, and deploy agentic workflows that remove operational bottlenecks and create measurable business impact. The product is already used by paying customers. The next step is turning successful client solutions into a scalable standalone platform. This role sits between product, consulting, and delivery. You will spend around 60 percent of your time working directly with clients. You will lead discovery workshops, manage several B2B projects in parallel, run regular client check ins, translate business goals into clear requirements, and work with engineers to make sure the agents being built solve real operational problems. The other 40 percent is focused on the company’s own platform. You will identify repeated customer needs, shape the backlog, create feature demos, review the market, and decide which one off solutions should become product features. This is a hands on product role. You do not need to be a software engineer, but you should understand technical feasibility and be comfortable learning modern AI tools quickly. Experience with Claude Code, Cursor, Lovable, n8n, LLM APIs, agent frameworks, JSON, logs, or workflow automation would be highly relevant. Must haves: 3 to 5 years in product management, technical consulting, implementation consulting, or B2B SaaS Strong German communication Experience leading B2B client projects Ability to prioritise business value Interest in AI agents, automation, and fast prototyping Comfort working closely with engineers and founders This is ideal for someone who enjoys building from real customer problems, moving fast, and turning repeatable delivery patterns into product.