Gen AI & Data Engineering
gainwelltechnologies
Job Description
- Experience (5–7 years) delivering production systems that combine data engineering with LLM applications.
- Azure OpenAI hands-on experience (prompting, model selection, evals, guardrails) and LLM orchestration using Semantic Kernel or LangChain.
- RAG expertise: embeddings, hybrid search, chunking, query rewriting, grounding with citations; Azure AI Search (vector + keyword).
- MCP (Model Context Protocol): building/integrating tools/servers to expose enterprise data to models securely.
- Data Engineering (Azure): ADLS Gen2 (bronze/silver/gold), ETL/ELT pipelines (Data Factory/Functions/Containers), Parquet; solid schema design and partitioning strategies.
- Programming: Strong Python (pandas), solid SQL; working TypeScript for integration or UI layers.
- Analytics: Practical statistics (A/B tests, t‑tests, DiD), time-series analysis; Power BI modeling and dashboards.
- DevOps: CI/CD (GitHub Actions/Azure DevOps), Docker; secrets and configuration management (Key Vault); logging/monitoring (App Insights).