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.