Description

You will design, build, and deploy agentic AI systems using generative AI models, custom orchestrators, and enterprise APIs.

This role is on-site.

Responsibilities

• Design and deploy agentic AI systems using LangGraph, LangChain, and custom orchestrators.
• Develop and maintain Retrieval-Augmented Generation (RAG) and reasoning pipelines for grounded agent behavior.
• Collaborate with MLOps and product teams to deliver production-ready AI solutions.
• Monitor and optimize agent performance for safety, accuracy, and reliability.
• Translate business requirements into scalable enterprise-grade data and AI solutions.

Required Skills

• 10+ years of software engineering experience.
• Strong proficiency in Python.
• Hands-on experience with Agentic AI and Generative AI frameworks.
• Deep knowledge of LangGraph and LangChain.
• Proven track record building RAG pipelines and multi-agent orchestration.
• Experience with MLOps practices and tools.
• Ability to work with third-party tools and enterprise systems.

Preferred Skills

• Experience with Snowflake.
• Knowledge of cognitive architectures and AI safety practices.

Key Skills

Education

Any Graduate