Job Description
• 8-15 years in software engineering, data engineering, AI engineering, or distributed systems. • Proven delivery of production systems (not only POCs), ideally involving data pipelines or AI-assisted workflows. • Hands-on experience with LangChain / LangGraph / LlamaIndex / AutoGen or similar agent frameworks. • Strong understanding of RAG, tool/function calling, orchestration, and prompt engineering patterns. • Familiarity with vector databases and retrieval optimization • Strong Python engineering skills. • Strong Spark experience (ETL/ELT, performance tuning, distributed debugging). • Strong SQL and data modeling skills; experience working with large-scale datasets. • Solid software engineering fundamentals: testing, CI/CD, Git workflows, code quality, and observability basics.