(Senior) AI Engineer (m/f/d) – Remote
As an AI Engineer, you develop MAIA further and help decide from the start how we solve problems.
As an AI Engineer, you develop MAIA further and help decide from the start how we solve problems.
Worum es geht MAIA ist eine KI-Plattform für Unternehmen.
Verantwortet Features einer GenAI-Plattform von Kundengespräch bis Produktion, baut Agenten-Workflows und misst deren Wirkung mit Evals.
Worum es geht MAIA ist eine KI-Plattform für Unternehmen.
Entwickelt die GenAI-Plattform MAIA weiter: Agentensysteme, RAG-Pipelines, Modellintegration und Evaluierung, vom Prototyp bis zur Produktion.
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
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Konzeption und Umsetzung produktionsreifer GenAI- und Agentic-AI-Lösungen entlang des gesamten Entwicklungszyklus, von Architektur und Imple
Wir verbinden Menschen, Orte und das Leben.
Du entwickelst mit Python innovative A I-Agenten - von der Konzeption geeigneter Use Cases über die Umsetzung und Integration bis zum produk
This is a unique opportunity to shape how AI drives real impact in digital healthcare at Redcare Pharmacy.
This is a unique opportunity to shape how AI drives real impact in digital healthcare at Redcare Pharmacy.
Analytics befindet sich im Wandel: Klassische Data Warehouses entwickeln sich zu intelligenten, cloudbasierten Datenplattformen.
das machst du bei uns Du entwickelst ausdrucksstarke Bildwelten, Key Visuals und kanalübergreifende Kampagnenkonzepte Du nutzt generative KI
Every morning, thousands of people relearn to speak with myReha, and your models listen to every attempt.
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KI für Bilder und Punktwolken entwickeln: Du entwickelst Anwendungen zur Auswertung von Bilddaten, Punktwolken und 3D-Daten, beispielsweise
Be responsible for a core pillar of Stenon’s products Scale our soil nutrient modelling to support more and more regions across the world Ov
Gerade starten wir neue Projekte, bei denen wir von Anfang an AI-first denken – von der Entwicklung bis zur Produktidee.
YOU ARE As a hands on AI Engineer, you will be at the heart of designing and building the components that make up advanced AI systems poweri
im Team Build the function.
CT is a European-based international engineering company with a clear mission: to provide innovative and technological solutions that help o
Leitung des Bereichs KI & ML mit mehreren Arbeitsgruppen, einschließlich medizinischer, industrieller und robotischer KI an den Standorten V
Introduction HeiGIT (Heidelberg Institute for Geoinformation Technology) As a nonprofit research institute, HeiGIT (Heidelberg Institute for
will combine hands-on technical exposure with scientific curiosity and business relevance: from extracting insights from client interactions
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
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.
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.
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.
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