AI / Software Engineer – Working Student

Help build the AI-native OS for political professionals.

Political developments shape every market and organization, yet they remain hard and costly to understand. GovernLens AI fixes this: we turn scattered parliamentary data, news, and stakeholder signals into strategic insight, used by Members of Parliament, public affairs consultancies, and corporates.

Our mission: strengthen democratic decision-making with transparent, fact-based political intelligence.

The role

As a working student, you'll ship real product alongside the founding team, not throwaway side projects. You'll work ~20 hours/week, flexibly around your lectures (more during semester breaks), across:

• LLM & RAG engineering — build retrieval pipelines, prompt patterns, agentic flows, and evaluation harnesses; push prototypes into production.
• Data ingestion & knowledge graph — build ingest jobs for parliamentary, news, and stakeholder sources, and structure data so downstream AI can reason across it.
• Full-stack delivery — ship features across TypeScript and Python: frontend, backend APIs, and data pipelines. Touch the whole product.
• Production & mentorship — pair with the founders on architecture, code review, and deployment, and see how a startup ships under real customer constraints.

Your profile

• Enrolled student in Computer Science, AI, Data Science, or a related field, with strong software engineering fundamentals.
• Working knowledge of TypeScript and Python; comfortable across frontend, APIs, and data, and fast at picking up the rest.
• Hands-on with LLMs/RAG, prompt engineering, vector databases, or agents
• Builder mindset: you ship, AI-enabled coding workflows are second nature, and you're curious about politics, AI, or both.

Why GovernLens

• Mission that matters: work on a product with positive socio-political impact that strengthens democratic institutions; code you ship is used by Members of Parliament and political consultancies.
• Real ownership: a young, dynamic, fast-paced team with flat hierarchies and close collaboration. We genuinely want your insights and opinions, not just your output.
• Founder-led engineering: daily pairing, code review, and architecture decisions with the founding team, on a modern AI stack (TypeScript, Python, LLM APIs, vector DBs, agentic flows).
• Grow with us: experience a startup scale from the inside, with a clear path to a long-term, full-time role (and a thesis collaboration if you want one).
• Backed by top institutions: invited to present in the German Bundestag; backed by TUM, Cyber Valley (Europe's top AI research hub), and UnternehmerTUM (Europe's #1 startup hub, Financial Times); selected for Public Value Academy

Details

• Type: Working student (m/f/d), paid
• Hours: ~20h/week, flexible around your studies
• Location: Munich · Hybrid
• Start: 01.07.2026