AI Engineer

• Architect and implement full RAG pipelines optimized for enterprise-grade use cases.
• Integrate and fine-tune state-of-the-art LLMs into the RAG architecture.
• Develop and manage scalable vector-based search solutions using ChromaDB, PostgreSQL (Vector extensions), or equivalent.
• Build robust and secure AI workflows on Microsoft Azure, leveraging its AI and ML toolsets.
• Optimize performance and latency of AI inference and retrieval mechanisms.
• Work closely with cross-functional engineering and data teams to ensure seamless system integration.
• Participate in code reviews, performance tuning, and system debugging.

Senior AI Engineer – RAG, LightRAG Framework Expert

Lead AI Engineer

Team Lead, AI Engineer

AI Developer

Salesforce AI Architect

AI Engineer