ML Engineer I_AgentCore, Agentic AI, Banking Solutions
UST (company site, opens in a new tab)5–7 yrsMumbaiOn-siteDirect career pageEst. 18–30 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and implement AI agents using LLM, Generative AI, and Retrieval-Augmented Generation (RAG) techniques with production deployment responsibility.
- Own orchestration using frameworks like LangGraph and AgentCore for AI agent workflows.
- Leverage domain knowledge to build AI solutions, preferably in US banking sector.
Minimum Requirements
- 5-7 years of experience as Full Stack AI Engineer.
- Proficiency in Python programming language.
- Experience with Large Language Models (LLM), Generative AI, RAG, and agent development implementations in production (at least 2 AI agents).
- Knowledge of orchestration frameworks such as LangGraph and AgentCore.
Ideal Candidate Profile
- Has hands-on experience in building and deploying AI agents end-to-end in production environments.
- Familiar with AgentCore and Agentic AI platforms and working within banking solutions domain.
- Exposure to US banking domain to effectively tailor AI solutions to industry-specific needs.