AI Engineer Lead

*
* Key Responsibilities:

***
* Qualifications:

** Minimum of 3 years of experience working on AI projects, with a focus on productizing AI/ML solutions.

Deep understanding of machine leaning fundamentals and ability to apply them in developing and implementing AI/ML solutions.

Experience with GenAI technologies and techniques (e.g., RAG, fine-tuning, vector stores, Agentic frameworks).
** Technical Skills Needed:
** Hands-on experience with LLMs (preferably GPT models)3) Demonstrated ability to leverage Git Hub Copilot for code acceleration:
3) Data Skills — SQL + SQL Server, Microsoft Fabric(optional)
SQL skills  Ability to design data access patterns for AI 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

Experience implementing agentic workflows, A2A patterns such as multi-agent collaboration (planner/executor/reviewer/retriever roles)
Experience operating and supporting AI-enabled services in production:
#J-18808-Ljbffr