About the Role

We are looking for a Agentic AI Engineer with 1-2 years of hands on experienceto design, build, and scale enterprise-grade agentic AI systems. The ideal candidate are graduates from

Tier-1/Tier -2 IITs or BITS Pilani has hands-on experience with agentic memory architectures, Graph RAG, retrieval systems, and relevance engineering, and is comfortable working across up-to-date agentic frameworks to deliver real-time, production-ready AI solutions.

Key Responsibilities

- Design and implement

Agentic Memory systems that enable AI agents to retain, retrieve, and reason over long-term and short-term context.

- Build and optimize

Graph RAG (Retrieval-Augmented Generation)

pipelines, combining knowledge graphs with vector-based retrieval systems.

- Develop and fine-tune retrieval systems and relevance engineering strategies to improve accuracy, precision, and recall of agentic responses.

- Architect and deploy

Agentic AI systems with harness-based orchestration for reliable, controllable agent behavior.

- Build multi-agent workflows using frameworks such as

LangChain, LangGraph, CrewAI, and Semantic Kernel

.

- Implement observability and MLOps practices for monitoring, debugging, and maintaining agentic systems in production.

- Design enterprise-grade agentic systems capable of delivering real-time responses at scale.

- Architect seamless pipelines supporting end-to-end agentic workflows, from ingestion to inference to action.





- Ensure all systems adhere to enterprise security and compliance standards.

- Apply strong problem-solving, OOP, and Data Structures & Algorithms (DSA)

principles in

Python or TypeScript to write clean, scalable, production-quality code.

- Collaborate with cross-functional teams (product, data, security, and platform engineering) to integrate agentic AI into broader enterprise systems.

Required Skills & Experience

- Strong hands-on experience with

Agentic Memory

,

Graph RAG

,

Retrieval Systems

, and

Relevance Engineering

.

- Practical experience with

Agentic AI frameworks

: LangChain, LangGraph, CrewAI, Semantic Kernel.

- Experience building and orchestrating agents using harness-based approaches.

- Proven experience delivering enterprise-grade agentic systems with real-time response requirements.

- Strong problem-solving skills with solid grounding in

OOP concepts and DSA

, using

Python or TypeScript

.

- Experience designing seamless, production-ready pipelines for agentic workflows.

- Familiarity with observability tooling and MLOps practices for AI/agentic systems.

- Exposure to enterprise security and compliance requirements in AI system design.

Good to Have

- Background in

Deep Learning

.

- Experience with

AI Full-Stack Engineering

.

- Hands-on experience with

AWS services

—

S3, ECS, EC2

.

📌 Jr AI Engineer (Hyderabad)
🏢 Narrative Intelligence
📍 Hyderabad