Fullstack Applied AI Engineer (f/m/x)

<p>MAIA is the AI platform built for industrial companies - where generic AI tools break down because the data is complex, the stakes are high, and precision actually matters. We focus on the hard problems: integrating with real engineering workflows, understanding complex technical documents, and turning implicit organizational knowledge into something the whole company can build on.</p>
<p>Our goal is to become the leading AI knowledge management platform for industrial companies in Europe - built for the companies that shape the physical world.</p>
<p>Our team consists of structured organizational talents, creative minds, and technology-enthusiastic engineers, all with several years of experience in B2B SaaS and AI.</p>
<p>We are looking for a Fullstack Applied AI Engineer (f/m/x) to join our engineering team - someone who ships production-grade AI features end-to-end, from retrieval pipelines and agentic workflows to the APIs and UI changes that bring them to life.</p>
<h2>Tasks</h2>
<ul>
<li>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.</li>
<li>You design, implement, and ship features from discovery to production rollout, with a strong focus on backend and AI functionality.</li>
<li>You build and iterate on RAG pipelines, retrieval strategies, and LLM integrations, making pragmatic tradeoffs across quality, latency, and cost.</li>
<li>You build evaluation approaches for LLM features - quality gates, regression detection, and observability that makes non-deterministic systems debuggable.</li>
<li>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.</li>
<li>You proactively scout new technologies and approaches, translate findings into production-ready solutions, and push the team's understanding of what is possible.</li>
<li>You collaborate closely with Product, DevOps, and customer-facing teams to turn requirements into high-quality, maintainable software.</li>
</ul>
<h2>Requirements</h2>
<p>Technical requirements</p>
<ul>
<li>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.</li>
<li>Proven experience building and shipping production REST APIs.<br>
Strong SQL skills, ideally with PostgreSQL in production.</li>
<li>Hands-on experience building or operating LLM applications, ideally with exposure to RAG systems and retrieval concepts.<br>
Commercial experience with at least one relevant LLM framework and at least one vector database.</li>
<li>Practical experience debugging production systems using observability tooling (logs, metrics, tracing), for example Grafana, Sentry, PostHog, or equivalents.</li>
<li>Solid React fundamentals and the ability to implement and maintain frontend components with good engineering quality and basic UX judgment.</li>
<li>Foundational understanding of cloud and DevOps concepts, enough to collaborate effectively with a dedicated DevOps engineer and handle small operational tasks if needed.</li>
<li>Ability to follow secure development best practices in day-to-day engineering work.</li>
<li>Fluent in English. German is a plus.</li>
</ul>
<p>Ways of working</p>
<ul>
<li>Strong ownership mentality - you take responsibility end-to-end, without needing to be managed.</li>
<li>People enjoy working with you - not just because of what you know, but because of how you interact with them.</li>
<li>AI is part of how you work - not just as a tool you use, but something you actively explore. You experiment with models, prompts, agents, and workflows, and you have informed opinions about what actually works.</li>
<li>Pragmatic builder - you ship solutions at the right level of complexity for the stage, and you can explain why a simpler approach was the right call.</li>
<li>You prioritize based on business impact and customer value, not technical interest alone.</li>
<li>Comfortable working in a fast-moving startup environment with ambiguity and shifting priorities.</li>
<li>You communicate clearly with both technical and non-technical stakeholders.</li>
</ul>
<p>Nice to have</p>
<ul>
<li>Experience with Supabase.</li>
<li>Experience with document analysis pipelines and preprocessing for retrieval.</li>
<li>Experience with automated evaluation and testing for LLM features.</li>
<li>Experience with LLM tracing and analytics (e.g., Langfuse).</li>
<li>Technical leadership: mentoring, setting standards, or leading cross-cutting initiatives.</li>
</ul>
<h2>Benefits</h2>
<p>What we offer you:</p>
<ul>
<li>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.</li>
<li>Short decision-making paths, real ownership, and a team that trusts you to drive your work.</li>
<li>Direct impact on product quality, AI capability, and company growth.</li>
<li>Flexible working hours and fully remote in Germany</li>
<li>Access to a WellPass fitness membership for your physical and mental wellbeing.</li>
<li>Competitive salary of 75,000 - 85,000 EUR and VSOP (Virtual Stock Option Plan) participation opportunities.</li>
</ul>
<p>We are a remote-first company and have been since day one. Most of our team is based in Leipzig, but remote team members are a natural part of how we work - not an exception. We do bring the full team together in Leipzig, or somewhere else, a few times a year for team events and planning sessions, with all travel and accommodation costs covered.</p>
<p>If you are somewhere in Germany you are in scope.</p>
<p>Hiring timeline: We are aiming to have this role filled by May 2026. The process consists of three stages: an intro call (30min), a technical interview (90min) and a final conversation with leadership.</p>
<p>We move quickly and will keep you informed at every step.</p>
<p>If this role sounds like the right next step for you, we would love to hear from you.</p>
<p>Find more <a href="https://www.arbeitnow.com/english-speaking-jobs">English Speaking Jobs in Germany</a> on Arbeitnow</a>