Jr AI Engineer

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.
• 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 .