Senior Fullstack Applied AI Engineer; f​/m​/x

MAIA is the AI platform built for industrial companies - where generic AI tools break down because the data is complex, the stakes are high, and precision actually matters. We focus on the hard problems: integrating with real engineering workflows, understanding complex technical documents, and turning implicit organizational knowledge into something the whole company can build on.

Our goal is to become the leading AI knowledge management platform for industrial companies in Europe - built for the companies that shape the physical world.

Our team consists of structured organizational talents, creative minds, and technology-enthusiastic engineers, all with several years of experience in B2B SaaS and AI.

We are looking for a Fullstack Applied AI Engineer (f/m/x) to join our engineering team - someone who ships production-grade AI features end-to-end, from retrieval pipelines and agentic workflows to the APIs and UI changes that bring them to life.

• You build and evolve MAIA's core product capabilities. Your primary focus is backend and AI systems - RAG pipelines, retrieval strategies, agentic workflows, and LLM integrations. You also implement the frontend changes needed to ship features end-to-end, while backend remains your main area of work.
• You design, implement, and ship features from discovery to production rollout, with a strong focus on backend and AI functionality.
• You build and iterate on RAG pipelines, retrieval strategies, and LLM integrations, making pragmatic tradeoffs across quality, latency, and cost.
• You build evaluation approaches for LLM features - quality gates, regression detection, and observability that makes non-deterministic systems debuggable.
• You implement frontend changes needed to ship features end-to-end - simple, intuitive UI work that unblocks delivery, typically a small portion of total effort.
• You proactively scout new technologies and approaches, translate findings into production-ready solutions, and push the team's understanding of what is possible.
• You collaborate closely with Product, Dev Ops, and customer-facing teams to turn requirements into high-quality, maintainable software.

Technical requirements

• Strong backend engineering skills in Type Script, or another strongly typed language (Go, Java, Rust) plus solid Type Script fundamentals and the ability to contribute productively in a Type Script codebase from day one.
• Proven experience building and shipping production REST APIs. Strong SQL skills, ideally with PostgreSQL in production.
• Hands-on experience building or operating LLM applications, ideally with exposure to RAG systems and retrieval concepts. Commercial experience with at least one relevant LLM framework and at least one vector database.
• Practical experience debugging production systems using observability tooling (logs, metrics, tracing), for example Grafana, Sentry, Post Hog, or equivalents.
• Solid React fundamentals and the ability to implement and maintain frontend components with good engineering quality and basic UX judgment.
• Foundational understanding of cloud and Dev Ops concepts, enough to collaborate effectively with a dedicated Dev Ops engineer and handle small operational tasks if needed.
• Ability to follow secure development best practices in day-to-day engineering work.
• Fluent in English. German is a plus.

Ways of working

• Strong ownership mentality - you take responsibility end-to-end, without needing to be managed.
• People enjoy working with you - not just because of what you know, but because of how you interact with them.
• AI is part of how you work - not just as a tool you use, but something you actively explore. You experiment with models, prompts, agents, and workflows, and you have informed opinions about what actually works.
• Pragmatic builder - you ship solutions at the right level of complexity for the stage, and you can explain why a simpler approach was the right call.
• You prioritize based on business impact and customer value, not technical interest alone.
• Comfortable working in a fast-moving startup environment with ambiguity and shifting priorities.
• You communicate clearly with both technical and non-technical…