Agentic AI Engineer

Agentic AI Engineer

Experience : 4–7 years

Location : Bangalore / New Delhi / Gurugram

Availability : This is an urgent requirement – Immediate joiners preferred

Overview

Design, build, and operate production-grade AI agents and tools using Agentic AI frameworks in Python. You will own agentic workflows end-to-end across planning, reasoning, tool calling, retrieval, evaluation, security, and observability.

Key Responsibilities

• Agent Development : Implement agentic workflows in Python using an agent framework (Semantic Kernel preferred; LangGraph, AutoGen, or CrewAI acceptable).
• Tool Orchestration : Build reliable tool and function-calling flows with planning, memory, and conversation orchestration.
• Retrieval Pipelines : Develop retrieval pipelines for RAG and hybrid search, including ingestion, chunking, embeddings, ranking, query planning, grounding, and caching.
• Cloud Deployment : Deploy agents to production on cloud platforms, integrating identity, networking, cost controls, and runtime observability.
• Monitoring & Observability : Instrument applications with tracing, metrics, and logs to ensure performance and reliability.
• Evaluation Workflows : Establish evaluation workflows using prompt and flow tests for offline, batch, and A / B scenarios.
• System Hardening : Collaborate with product, data, and security teams to harden systems using rate limits, retries, timeouts, and circuit breakers.
• Documentation & Mentorship : Maintain clear technical documentation and provide mentorship to peers on best practices and debugging.

Must-Have Qualifications

Good-to-Have Skills