AI Agentic Lead

Job Title: Senior AI Agentic Lead



Location: Fremont, CA



Work Arrangement: Onsite Job Summary

We are seeking an experienced Senior AI Agentic Lead to lead the architecture, development, and implementation of advanced Agentic AI and Generative AI solutions .

The ideal candidate will have strong hands-on expertise in inference-based orchestration, LangChain, LangGraph, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs) , with the ability to design scalable, production-ready agentic workflows.

Key Responsibilities

• Lead the design and development of Agentic AI systems and intelligent orchestration frameworks.
• Architect inference-based orchestration workflows for complex AI applications.
• Design and implement AI agents using LangChain and LangGraph .
• Build and optimize RAG pipelines for enterprise AI applications.
• Design workflows leveraging LLMs, tools, agents, memory, and contextual data.
• Architect multi-agent and agent-to-agent workflows for complex business use cases.
• Integrate LLMs with enterprise data sources, APIs, vector databases, and external tools.
• Evaluate and improve retrieval quality, inference performance, response accuracy, and system reliability.
• Establish scalable architectural patterns and engineering best practices for production AI applications.
• Provide technical leadership and guidance to engineering teams.
• Collaborate with product, engineering, data, and business stakeholders to translate requirements into AI solutions.

Must-Have Skills

• Strong hands-on experience with inference-based orchestration .
• Advanced experience with LangChain .
• Advanced experience with LangGraph .
• Strong experience designing and implementing RAG (Retrieval-Augmented Generation) solutions.
• Deep understanding of LLMs and Generative AI architectures .
• Experience building production-grade AI agents and agentic workflows .
• Strong understanding of AI orchestration, prompt workflows, tool calling, and contextual reasoning.
• Strong architecture, problem-solving, communication, and technical leadership skills.

Preferred Experience

Experience with multi-agent architectures, vector databases, LLM evaluation/observability, model APIs, enterprise AI integrations, and deploying scalable production AI solutions would be advantageous.