Internship in Context Engineering for AI Coding Assistants

Take the opportunity to deepen your knowledge of modern AI technologies, collaborate on exciting technical challenges, and make a real impact on the next generation of coding agents.

• You will conduct comprehensive literature reviews and State-of-the-Art (SoTA) analyses of current research on LLM context engineering, repository-scale retrieval-augmented generation (RAG), and agentic workflows for software development.
• As part of setting up and maintaining agent infrastructure, you will configure and manage execution sandboxes, agent harnesses, and test environments.
• To assess real-world impact, you will implement and run benchmarks on repository-level coding use cases, measuring performance, output accuracy, and developer productivity gains.
• Furthermore, you will propose, prototype, and evaluate generic context pipelines for AI coding agents.
• Finally, you will document scientific methodologies and findings and present your results to the research team.

• Education: Master studies in the field of Computer Science, Artificial Intelligence, Data Science, Software Engineering, or comparable
• Experience and Knowledge: strong programming skills in Python, Git, and containerized sandbox environments such as Docker; solid understanding of LLMs, prompt engineering, context management, and AI agent architectures; hands-on experience developing, benchmarking, or experimenting with AI-powered coding assistants and repository-scale context retrieval systems
• Personality and Working Practice: you are driven by curiosity, thrive when working independently, and bring a structured approach to solving complex challenges
• Work Routine: for this position, your presence on-site is essential
• Languages: fluent in English, German language skills a plus

Start: according to prior agreement
Duration: 6 months

Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job?
Keyur Joshi (Functional Department)
+49 157 39649018

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