Thorit GmbH · Böblingen, Germany · Hybrid, mostly on-site · Working student (Werkstudent), 15 to 20 hours per week · Start as early as possible
You'll build the agent stack an AI consultancy runs on. We use several LLMs across many internal tools, and today each one is wired up differently. You'll turn that into one LangChain foundation: one model-agnostic layer, shared building blocks and proper tracing, then move our internal tools onto it. Real users, real production, from your first month.
Map every internal tool that uses an LLM: which model, how it is called, what data flows through it
Build our internal LangChain and LangGraph reference stack with a model-agnostic LLM layer, tool calling, MCP and structured outputs
Migrate existing internal tools and agents onto that shared stack
Compare LLMs with evals and tracing and help decide which model fits which use case
Create templates and docs so colleagues build new tools the same way, including apps that started in Lovable
Connect the stack to our systems through APIs, webhooks and a shared data model
Must-haves
Enrolled in a computer science, software engineering, AI, data science or business informatics program
At least one project you built yourself with LangChain or LangGraph (show us the code)
Hands-on experience with more than one LLM or provider and an idea of their trade-offs
Solid Python, plus first experience with REST APIs and SQL
Very good English; German is a plus for working with some internal users
Living close enough to Böblingen to work from our office at least one day a week
Nice-to-haves
Experience with LangSmith or other LLM tracing and evals, RAG and vector stores, or MCP
TypeScript and experience with Lovable, Supabase or Postgres
Interest in writing your thesis on an applied LLM or agent topic
You'll report to the Team Lead AI Engineering Germany, joining the AI Engineering Germany team within Thorit's AI & Engineering Practice. Senior engineers set the architecture with you and review your code, and you'll work directly with colleagues across the company who use the tools you build.
Python, LangChain, LangGraph, LangSmith, several LLM providers (Claude and others), MCP, vector stores, Supabase and Postgres, TypeScript, Lovable, Git, HubSpot APIs, Jira, Confluence, Microsoft 365.
Real ownership: you build the stack our internal tools run on, not side tasks, and your work goes live
Hours that fit your studies: flexible working hours planned around lectures and exam phases, more hours in semester breaks if you want
Paid vacation pro rata, based on 31 days for a full-time position (above the statutory minimum)
Access to several frontier LLMs and senior engineers who review your code
MacBook and a modern office in Böblingen with free parking, good public transport and company e-scooters
Lunch subsidy of €5 tax-free per working day
Free snacks, fruit, coffee and drinks, a dog-friendly office and Corporate Benefits discounts from several hundred brands
Team events, offsites, our Christmas party and Lunch & Learns
Thesis and next step: the option to write your thesis with us, and a clear path to a Junior AI Engineer role after graduation
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