Agentic AI Engineer

Role: Agentic AI

Exp:7+ Year

Location: Pune

Agentic Developer (BRM)

Technology Stack

AI Orchestration Frameworks

1)LangChain/LangGraph

2)Google Agent Development Kit(ADK)

3) Model Context Protocol(MCP)

Cloud Infrastructure & Data (GCP Ecosystem)

1) Google Cloud Platform

2) Google Big Query(BQ)

3) Google DataPlex

4) Google Cloud Run

5)Google Kubernetes Engineer

Google AlloyDB

6)Vector Databases

Code Development and DevOps Tools

1)Python

2)Docker/UV/Git

Responsibilities

• Multi-Agent Orchestration: Design and deploy a swarm of specialized agents (Planner, Data Librarian, Data Analyst, and Report Agents) that delegate tasks, share context, and collaborate to solve complex queries.
• Intelligent Data Routing: Build systems that utilize BigQuery metadata and Google Dataplex to help our AI intelligently locate relevant data - eliminating the need to brute-force scan entire databases.
• Mastering the EFX Agentic Platform: Leverage our powerful, in-house CLI platform to manage the full AI lifecycle, from composing RAG (Retrieval-Augmented Generation) agents to deploying securely via Google Cloud Run/GKE.
• Advanced Tool Integration: Connect AI agents to enterprise systems using Model Context Protocol (MCP), custom Python functions, vector databases, and enterprise APIs.
• Quality Assurance & Evaluation: Implement rigorous LLM-as-a-Judge evaluations using frameworks like RAGAS and DeepEval to ensure our AI's responses are accurate, safe, and hallucination-free.
• Performance Optimization: Monitor agent health, trace LLM logic flows, and optimize token usage/costs using advanced observability tools and OpenTelemetry.