Senior Fullstack Applied AI Engineer

MAIA

Fullstack Applied AI Engineer responsible for developing features for MAIA's AI platform focused on industrial companies. Engaging in backend and AI system development with full responsibility for production quality.

Posted 6/9/2026full-timeRemote • 🇩🇪 GermanySenior💰 €75,000 - €85,000 per yearWebsite

Tech Stack

Tools & technologies

CloudGoGrafanaJavaPostgresReactRustSQLTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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 and maintain frontend components with good engineering quality and basic UX judgment.
Foundational understanding of cloud and DevOps concepts, enough to collaborate effectively with a dedicated DevOps engineer and handle small operational tasks if needed.
Ability to follow secure development best practices in day-to-day engineering work.
Fluent in English. German is a plus.

Benefits

Comp & perks

A central role in the engineering team of a well-funded, fast-growing AI startup building for the industrial sector - where the AI problems are genuinely hard and the impact is tangible.
Short decision-making paths, real ownership, and a team that trusts you to drive your work.
Direct impact on product quality, AI capability, and company growth.
Flexible working hours and fully remote in Germany
Access to a WellPass fitness membership for your physical and mental wellbeing.
Competitive salary of 75,000 - 85,000 EUR and VSOP (Virtual Stock Option Plan) participation opportunities.
Most of our team is based in Leipzig, but remote team members are a natural part of how we work.

ATS Keywords

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Hard Skills & Tools

TypeScriptGoJavaRustREST APIsSQLPostgreSQLLLM applicationsRAG systemsobservability

Soft Skills

collaborationproblem-solvingcommunicationdebuggingUX judgment