Design and develop production-ready AI applications using Python and LLM frameworks
Implement and optimize RAG systems to enhance LLM capabilities with external knowledge sources
Lead the design of agentic workflows using Lang-Graph (or Lang-Chain) and similar frameworks, ensuring scalability, modularity, and alignment with enterprise needs.
Translate business requirements into technical AI solutions, driving process reimagination through automation and intelligent systems.
Build complex reasoning chains and agent workflows using Lang-Chain and Lang-Graph
Create and maintain vector databases for efficient information retrieval
Demonstrate understanding of AI system guardrails, agent evaluation frameworks, and LLMOps practices
Develop custom tools and functions to extend LLM capabilities
Optimize prompt engineering strategies for improved model performance
Implement evaluation frameworks to measure and improve system performance
Collaborate with cross-functional teams to integrate AI solutions into existing products
Stay current with the latest advancements in LLM technologies and implementation strategies
Document code, architectures, and processes for knowledge sharing
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full time