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About the Role
We are looking for a Agentic AI Engineer with 1-3 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.
- 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.
Click on Apply to know more.
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