Summary from listing
The role focuses on developing and optimizing generative AI applications, with emphasis on model evaluation, retrieval-augmented generation, prompt engineering, LLM experimentation, data quality, and production-ready automation workflows and agents. The engineer will collaborate with AI platform and business teams, share GenAI and machine learning expertise, and contribute to scalable AI capabilities. Required qualifications include a university degree in a relevant field, 5–7 years of experience, Python and agentic-systems expertise, LLM API and RAG experience, software development and MLOps knowledge, and strong communication skills.
