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.
Responsibilities
• 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, DevOps, and customer-facing teams to turn requirements into high-quality, maintainable software.
Requirements
Technical requirements
• Strong backend engineering skills in TypeScript, or another strongly typed language (Go, Java, Rust) plus solid TypeScript fundamentals and the ability to contribute productively in a TypeScript 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, PostHog, or equivalents.
• Solid React fundamentals and the ability to implement …
mehr auf talents.studysmarter.de ↗