IN_Senior Associate_Manged Services_Agentic Automation_Advisory_Pune

 Job Description & Summary  

A career within our Agentic AI team will provide the opportunity to design, develop, and implement end-to-end agentic AI solutions. You’ll work with various agentic frameworks, Retrieval-Augmented Generation (RAG), guardrail design, and full-stack implementations. 

Responsibilities - Gather business requirements and translate them into agentic workflows. - Develop and orchestrate AI agents using LangChain/LangGraph/Google ADK/AutoGen. - Implement RAG pipelines and memory-augmented workflows. - Define structured data models with Pydantic. - Implement guardrails using JSON Schema, regex, LLM-as-judge. - Integrate APIs, enterprise apps, and MCP/A2A protocols. - Build dashboards and microservices (FastAPI, Python, ReactFlow). Associate: Contribute hands-on code, integrations, testing. Sr. Associate: Lead small teams, own sub-modules, mentor juniors. Manager: Own delivery roadmap, oversee multi-team orchestration, engage with senior stakeholders. 

Mandatory Skill Sets - Strong Python & FastAPI development along with knowledge of well known libraries like Pandas, Pydantic etc. - Hands-on with agent frameworks (LangChain, LangGraph, AutoGen, Google ADK). - RAG design and implementation. - Guardrail techniques (JSON Schema, regex, LLM-as-judge). - CI/CD, containerization, cloud-native deployment. 

Preferred Skill Sets - Knowledge of MCP server / A2A protocol. - Observability tooling (LangSmith, framework metrics). - Full-stack exposure (React, ReactFlow, Next Js, Node Js etc.). - Open-source contributions. 

Years of Experience Associate: 2–5 yrs Sr. Associate: 5–8 yrs Manager: 12–15 yrs 

Education 

Qualification Bachelor’s in Computer Science / Engineering / AI/ML (Master’s preferred for senior levels).