(Senior) Software Engineer – AI (m/f/d) – Remote
As a Software Engineer, you develop MAIA further and help decide from the start how we solve problems.
As a Software Engineer, you develop MAIA further and help decide from the start how we solve problems.
As a Product Engineer, you own features from start to finish: from conversations with customers and concept work through to implementation a
As an AI Engineer, you develop MAIA further and help decide from the start how we solve problems.
Build AI Agents with domain context for specialized tasks, including multi-step reasoning, tool use, and autonomous decision-making.
Erstellt KI-generierte Cinematic-Videoanzeigen für Meta und andere Paid-Kanäle, von Konzept und Generierung bis zum finalen Schnitt.
Wir schreiben dir, sobald eine neue geprüfte Stelle zu Remote dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Überwacht KI-gestützte Marketing-Automatisierungen und Kampagnen, prüft Inhalte und Zahlen und baut kleinere KI-Workflows selbst.
Überwacht KI-gestützte Aussendungen und Kampagnen, prüft KI-Ergebnisse auf Fehler, baut eigene KI-Automatisierungen und wertet Marketingzahlen aus.
Build auditable data pipelines for large clinical, diagnostic, and medical imaging datasets in the cloud.
ClickHouse welcomed Langfuse, the leading open-source platform for tracing, evaluation, and observability, to strengthen its position in the
Du machst Machine Learning produktionsreif: Du entwickelst skalierbare Daten- und Modell-Pipelines auf AWS und bringst Machine-Learning-Mode
Build the agent runtime. Sandboxed execution, tool orchestration, memory, the closed loop where the agent checks its own work.
Analyse und Identifikation von AI-Use-Cases in Kundenumgebungen Bewertung aktueller AI-Technologien und -Plattformen, prüfen von Lösungskonz
Was du bei uns machst Technische Umsetzung beim Kunden: Architektur, Integration und Inbetriebnahme von KI-Lösungen (LLMs, RAG, Agentic AI,
Worum es bei uns wirklich geht Du identifizierst KI-Anwendungsfälle in Bankprozessen, bewertest Machbarkeit und Nutzen und überführst sie in
is mostly focused on shipping AI product features, with some AI systems and infrastructure work where needed.
is mostly focused on shipping AI product features, with some AI systems and infrastructure work where needed.
is mostly focused on shipping AI product features, with some AI systems and infrastructure work where needed.
is mostly focused on shipping AI product features, with some AI systems and infrastructure work where needed.
is mostly focused on shipping AI product features, with some AI systems and infrastructure work where needed.
Baut mit SQL und KI-Tools Dashboards, Reports und Workflows für Praxen und Radiologiezentren und entwickelt dabei neue KI-Anwendungen.
Das waren alle 20 Jobs zu dieser Auswahl.
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
As a Software 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. Apply with your CV here 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.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeHier stehen ausschließlich Stellen, die ortsunabhängig ausgeschrieben sind. Anzeigen, die Homeoffice an einzelnen Tagen erlauben, laufen unter Hybrid und nicht hier, denn wer ortsunabhängig sucht, will nicht pendeln. Diese Unterscheidung trifft kijobs selbst: Die Quellen weisen sie nicht aus, erkannt wird sie aus Titel, Ortsangabe und Anzeigentext, und im Zweifel ordnen wir vorsichtig ein, lieber hybrid als remote. Beachte dabei, dass remote selten weltweit heißt. Viele Arbeitgeber verlangen einen Wohnsitz im selben Land oder zumindest innerhalb der EU, und das steht meist erst im Anzeigentext.