Description

9+ years of experience spearheading enterprise AI transformations, bridging the gap between complex technical architectures and high-level business objectives while establishing robust Agile AI governance. ·       Deep technical expertise in Python, machine learning ·       Expert in designing production-ready Large Language Model (LLM) applications, multi-agent orchestration, and advanced skill-based agentic workflows ·       Expert in implementing advanced GenAI workflows, including RAG (Retrieval-Augmented Generation), Graph Knowledge base, Fine-Tuning, and Function Calling agents ·       Proficient in LangChain and LangGraph to build context-aware applications, optimizing Vector Embeddings and inference latency using Redis caching" SKILLS_REQUIRED "Designed enterprise agentic AI systems using Lang Graph, Crew AI, AutoGen, MCP; built RAG architectures with vector search, Azure OpenAI, Bedrock, Gemini, and enterprise knowledge retrieval solutions. Developed Node.js backend services and APIs; built TypeScript applications; integrated Node.js with PostgreSQL, MongoDB, Graph QL, REST APIs, Next.js, and AI-powered applications. Built large-scale AI/ML platforms on AWS, Azure, and GCP; implemented Kubernetes deployments, Kafka streaming pipelines, Airflow orchestration, MLflow/Kubeflow workflows, and enterprise-grade scalable AI infrastructure." DESIRABLE_SKILLS "9+ years of experience spearheading enterprise AI transformations, bridging the gap between complex technical architectures and high-level business objectives while establishing robust Agile AI governance. ·       Deep technical expertise in Python, machine learning ·       Expert in designing production-ready Large Language Model (LLM) applications, multi-agent orchestration, and advanced skill-based agentic workflows ·       Expert in implementing advanced GenAI workflows, including RAG (Retrieval-Augmented Generation), Graph Knowledge base, Fine-Tuning, and Function Calling agents ·       Proficient in LangChain and LangGraph to build context-aware applications, optimizing Vector Embeddings and inference latency using Redis caching

Key Skills

Education

Bachelor's degree