• You support the development and enhancement of LLM-based applications for software engineering workflows.
  • Furthermore, you support building Retrieval-Augmented Generation (RAG) pipelines by embedding codebases and retrieving relevant code context via semantic search.
  • In addition, you help integrate enterprise tools such as Jira and CodeBeamer with AI-based workflows.
  • Moreover, you support designing and evaluating prompt engineering approaches for generating artifacts such as requirements, implementation recommendations, and technical building blocks.
  • Furthermore, you help investigate and compare state-of-the-art LLMs for industrial software development applications.
  • In addition, you contribute to developing methods that improve the accuracy, reliability, and traceability of AI-generated engineering outputs.
  • Moreover, you support evaluating generated artifacts against software engineering quality criteria.