(Senior) AI Engineer (m/f/d) – Remote

Posted 2 Days Ago
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Hiring Remotely in Berlin, DEU
In-Office or Remote
75K-95K Annually
Senior level
Artificial Intelligence • Enterprise Web • Machine Learning • Software
The Role
Develop and ship MAIA’s generative AI platform, including agent systems, RAG pipelines, integrations, model evaluation, secure tool execution, and performance improvements. Own features from concept through continuous improvement, collaborate with product management, and build reliable backend systems for large knowledge bases. The role requires strong software engineering, practical LLM experience, product thinking, security awareness, proactive remote communication, and fluent English. There is no people-management responsibility.
Summary Generated by Built In
What we do
MAIA is an AI platform for companies. With MAIA, teams search their internal data and embed agents deep into their processes. We help companies use AI not just in individual departments, but across the entire organisation.
On a technical level, this means: we build a GenAI application with our own agent systems, RAG pipelines and agent-based workflows, connect our customers' external systems and analyse their data. We use the best available models, operated in the EU, and make them reliable for demanding work with large, complex datasets.
Many industrial companies have been using MAIA intensively for years. Following our successful 2026 funding round, we are now taking MAIA to a broader market. MAIA has been developed in Leipzig since 2021.
What you'll do
As an AI Engineer, you develop MAIA further and help decide from the start how we solve problems.
What you can work on:
* From concept to feature. Together with product management, you sharpen rough concepts and own features from prototype to continuous improvement based on feedback and usage data.
* Chat and agents. You shape how people work with MAIA: asking questions, providing context and letting agents complete multi-step tasks, with traceable progress and verifiable results.
* Unlocking company knowledge. You connect external systems and make knowledge from many different file formats usable. This way, MAIA finds the right passages, delivers answers with sources and respects existing access rights.
* Models and quality. You integrate new language models and compare quality, cost and speed. With evals, you detect errors and systematically improve answers and agents.
* Secure, fast and stable. You build isolated environments for running code and tools and improve response times and data processing, so that MAIA runs reliably even with large knowledge bases.
What we're looking for
* Solid software engineering. You have built and shipped backend systems and operated them in production over a longer period. Architecture, API design, data modelling and asynchronous processing are familiar to you. You recognise weak architecture even when a coding agent wrote it.
* Very strong in at least one of our languages. TypeScript, Python or Go, ideally one of the statically typed ones. You don't need all three. You'll get up to speed in the others.
* At home in the LLM ecosystem. You have built real applications with LLMs, professionally or in complex personal projects. You know RAG, embeddings, vector search and tool calling from practice, including where they fail. You try out new models and frameworks on your own initiative and separate substance from hype. Production experience with LLM systems is a big plus.
* Measure, don't guess. You know how to test and evaluate systems that don't always give the same answer to the same question. You build the simplest solution that solves the problem. Additional retrieval stages, prompt chains or abstractions only come in when measurements justify them.
* Product thinking. You think about the person who needs to finish a quote under time pressure or clarify a technical question with MAIA. You like to get involved early in product management's concepts, ask the right questions and contribute your own ideas, even when not everything is settled yet.
* Agentic engineering. Coding agents are part of your daily work. You write plans that others review and that coding agents can build on, you review the results critically, and you know where agents help and where they don't.
* Security-minded. Our customers trust us with their internal knowledge. Tenant isolation, access rights and secure development are second nature to you.
* Remote-ready. You communicate proactively, document your work so others can follow it, and move things forward without constant coordination.
* Clear communication. You explain technical topics clearly, including to product management, customer success and sales. You are fluent in English. German is a plus.
This role has no people management responsibility. Whether you join at regular or senior level is something we'll discuss openly with you after the technical interview at the latest.
Working at MAIA
We share a common goal: building a really great product. Everyone takes ownership of their own area. We enjoy our work and are proud of what our customers achieve with MAIA. Paths are short and decisions are made quickly. In the engineering team, we critically question how we develop and continuously improve our processes, especially in agentic development.
Much of the team works together in our office in Leipzig, centrally located between the city centre and the zoo, where we cook together almost every day. You work remotely from anywhere in Germany. You need to live in Germany for this role. Twice a year, we meet in person for team events, and from time to time there are team days in Leipzig. When your day starts is up to you.
* Access to the latest frontier models and coding agents
* Support for training that fits your professional development
* Access to a Wellpass membership
Compensation
The annual gross salary is €75,000 to €95,000\. Where you fall within this range depends on your level. We'll discuss this after the technical interview at the latest. On top of that, you receive a virtual share in our VSOP.
Application and next steps
You don't need a cover letter. Send us your CV and answer one question in a few sentences of your own: Why do you want to help shape MAIA?
We work with AI every day. For this answer, though, your own perspective is what counts. So please write it yourself. Short and unpolished is fine.
If there's a fit, you'll have a 30-minute intro call, a 90-minute technical interview and a final conversation with our management. After each step, you'll usually hear from us within two business days. Our goal is a decision in about three weeks.
We look forward to your application.

Skills Required

  • Professional experience building and operating backend systems in production over an extended period
  • Strong software engineering knowledge, including architecture, API design, data modelling, and asynchronous processing
  • Strong proficiency in at least one of TypeScript, Python, or Go
  • Practical experience building applications with large language models, professionally or through complex personal projects
  • Practical knowledge of RAG, embeddings, vector search, and tool calling
  • Ability to test and evaluate systems with nondeterministic outputs using measurements and evals
  • Product-oriented approach and willingness to contribute to product concepts and feature development
  • Experience or proficiency with agentic engineering and critically reviewing coding-agent output
  • Security-minded approach, including tenant isolation, access rights, and secure development
  • Proactive communication, documentation, and ability to work effectively remotely
  • Fluent English communication skills
  • Residence in Germany
  • German language skills
  • Production experience with LLM systems
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The Company
30 Employees
Year Founded: 2021

What We Do

Prodlane GmbH develops MAIA, an AI-driven SaaS workspace for industrial SMEs that makes complex unstructured documents (manuals, plans, data sheets) searchable and analyzable. MAIA uses RAG and AI-agent techniques to deliver source-based answers via an intuitive chat interface, improving productivity, traceability, and data-driven decisions for manufacturing, medical tech and energy companies while maintaining GDPR compliance.

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