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 modern 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.

Robust 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