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(Senior) AI Engineer (m/w/d)

MAIA
Contract type
Ongoing
Work mode
Hybrid · Leipzig, Germany
Experience
Senior · Not stated

Level inferred from job title

Job description

As an AI Engineer you develop MAIA, an enterprise AI platform, owning features from concept to production across chat, agents, RAG pipelines and model integration.

At a glance

Employment
Full-time · Employee (employment agreement)
Work mode
Hybrid · Leipzig, Germany
Languages
German – fluent, English – fluent
Pay
EUR 75,000 – 95,000 / year

What you'll do

  • Sharpen rough concepts with product management and own features from prototype to further development based on feedback and usage data.
  • Shape how people work with MAIA: asking questions, providing context and letting agents complete multi-step tasks with traceable progress and verifiable results.
  • Connect external systems and make knowledge from different file formats usable, with answers including sources and respecting existing access rights.
  • Integrate new language models and compare quality, cost and speed; use evals to find errors and systematically improve answers and agents.
  • Build isolated environments for executing code and tools and improve response times and data processing for large knowledge bases.

What we're looking for

  • Has built, shipped and operated backend systems in production over longer periods; familiar with architecture, API design, data modeling and asynchronous processing.
  • Very good in at least one of TypeScript, Python or Go, ideally a statically typed one.
  • Has built real applications with LLMs, professionally or in complex own projects; practical knowledge of RAG, embeddings, vector search and tool calling.
  • Knows how to test and evaluate systems that do not always answer the same question identically; builds the simplest solution that solves the problem.
  • Product thinking: considers the person using MAIA under time pressure and engages early in product management concepts.
  • Works agentically: coding agents are part of everyday work, writes plans others can review and critically checks results.
  • Thinks about security: tenant isolation, access rights and secure development are a given.
  • Communicates clearly and speaks very confident German as well as English.

Nice to have

  • Production experience with LLM systems is a big plus.

Your team

Engineering

Engineering team that critically questions how it develops and continuously improves its processes, especially in agentic development.

Benefits

Office centrally between the city center and the zoo, cooking together almost every day, at least three days per week onsite, flexible start of the day.

  • Access to current frontier models and coding agents.
  • Support for further training that fits your professional development.
  • Access to a Wellpass membership.
  • Virtual participation via the company's VSOP.

How to get hired

  1. 1No cover letter needed; send your CV and answer in a few own sentences why you want to help shape MAIA.
  2. 2A 30-minute introductory call, a 90-minute technical interview and a final conversation with management.
  3. 3Feedback usually within two working days after each step; goal is a decision in around three weeks.

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About MAIA

An AI platform for companies.

With MAIA, teams search their internal data and anchor agents deeply in their processes. MAIA has been developed in Leipzig since 2021.

Mission

Help companies use AI not just in individual departments but across the whole company.

Key facts

  • 2021
  • Leipzig
  • Enterprise AI software
  • Builds a GenAI application with its own agent systems, RAG pipelines and agent-based workflows.
  • Uses the best available models, operated in the EU.
  • Numerous industrial companies have worked intensively with MAIA for years.
  • After a successful financing round in 2026, MAIA is being brought to a broader market.
  • MAIA has been developed in Leipzig since 2021.

What they value

  • A shared goal of building a really good product; everyone takes responsibility for their own topic.
  • Short paths and fast decisions.
  • The engineering team critically questions how it develops and continuously improves its processes.