GenAI Engineer

Job description

• Programming & Engineering Excellence
• Python (advanced), APIs, pipelines, and AI orchestration
• Java/ReactJS (optional)
• LLM & GenAI Engineering
• Hands-on experience with LLMs (preferably GPT models)
• Model evaluation including accuracy/faithfulness checks, hallucination mitigation, regression testing
• Safety/guardrails patterns appropriate for enterprise use
• Demonstrated ability to leverage GitHub Copilot for code acceleration:
• Rapid scaffolding of code, services, APIs, and development 3) Data Skills — SQL + SQL Server, Microsoft Fabric(optional)
• Ability to design data access patterns for AI
• LLM & GenAI Engineering
• Hands-on experience with LLMs (commercial)
• Strong experience implementing RAG architecture with ingestion pipelines, chunking strategies
• Vector database / vector search experience with Indexing, similarity search, metadata filtering
• Experience with MCP patterns, Standardizing tool/context access for models and agent runtimes
• Designing MCP servers/tool endpoints and integrating them into LLM apps <p normal"="" style="margin-top:0in;margin-right:0in

Qualifications

Undergraduate