Design and develop production-grade Agentic Al solutions leveraging LLMs, Generative Al, and multi-agent architectures.
Architect and implement end-to-end Al systems involving planning, reasoning, tool usage, memory management, orchestration,
and workflow automation.
Build and optimize multi-agent ecosystems using A2A communication patterns and MCP.
Design and implement advanced RAG architectures including hybrid search, reranking, knowledge graphs, contextual retrieval, and
evaluation frameworks.
Build multimodal Al capabilities spanning text, documents, images, and audio.
Drive Al agent development using LangGraph, LangChain, and related frameworks.
Integrate Al agents with platforms such as Copilot Studio and Vertex Al Studio.
Optimize prompts, retrieval quality, agent reasoning, and LLM performance.
Establish best practices around scalability, security, observability, governance, and cost optimization.
Collaborate with product and engineering teams to define and deliver Agentic Al capabilities.
Total Experience: 8+ years of software engineering experience building enterprise-scale applications and platforms.
4+ years of experience in Al, NLP or Machine learning solutions with strong python proficiency.
3+ years of hands-on experience with Multi Agentic Al and Generative Al solutions