AI Agent Engineer

Agentic AI Engineer

Location :

India (Hybrid / On-site depending on project)

About the Role

We are hiring a highly skilled

Agentic AI Engineer,

one of the world’s leading professional services organisations.

You will design, build, evaluate, and productionize

Agentic AI systems

using advanced frameworks and modern AI engineering practices.

This is a high-impact engineering role designed for professionals who have built

end-to-end GenAI applications

and are now moving deeper into

agentic architectures

Key Responsibilities

Architect, develop, and deploy

production-grade AI Agents

using

Semantic Kernel

LangGraph

AutoGen

CrewAI

, or equivalent frameworks.

Build advanced

tool / function calling pipelines

, memory components, planning modules, and orchestrated multi-step agent workflows.

Design and optimize

RAG pipelines

including ingestion, chunking, embeddings, hybrid search, grounding, ranking, and evaluation.

Deploy agents on cloud (Azure / GCP / AWS) with strong focus on identity, networking, logging, cost optimization, and monitoring.

Implement strong observability including

tracing, metrics, logs

, experiment tracking, and A / B evaluation.

Establish automated

evaluation + regression suites

for agent reliability, safety, and performance.

Collaborate closely with product, data, and security teams to ensure agents comply with

safety, governance, content policies, and PII guidelines

Provide mentorship, documentation, and best practices for scalable agentic development.

Must-Have Skills

4–6 years of hands-on GenAI application development

, followed by experience building agentic systems.

Strong

Python 3.11+

skills : asyncio, typing, packaging, profiling, CI / CD, pytest.

Production experience with at least one agent framework (

Semantic Kernel preferred

).

Expertise in

tool calling

, schema design, argument validation, planning modules.

Deep knowledge of

vector databases

, hybrid RAG, retrieval optimization, evaluation metrics.

Cloud deployment experience with

Docker, containers, secrets, monitoring, observability

Strong understanding of

prompt security

, PII governance, sandboxing, and safe tool execution.

Excellent communication + collaborative engineering mindset.

Great to Have

Experience with

multi-agent patterns

: task decomposition, coordinator-worker, HITL loops.

Azure Search, Pinecone, Elasticsearch, pgvector.

Frontend integration for AI agent UIs with streaming events + tool traces.

DevOps pipeline experience (GitHub Actions, Azure DevOps, Kubernetes, IaC).