ML Engineer I - Gen AI Fullstack
UST (company site, opens in a new tab)5–7 yrsMumbaiOn-siteDirect career pageEst. 18–30 LPA
Posted 1d ago
Reach people at UST
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at UST you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Develop and implement full-stack AI solutions focusing on Large Language Models (LLM), Generative AI, Retrieval-Augmented Generation (RAG), and AI Agent development.
- Lead production deployment of at least two AI agent projects, ensuring operational effectiveness and scalability.
- Utilize orchestration frameworks such as LangGraph or AgentCore to design and manage AI workflows.
Minimum Requirements
- 5-7 years of experience as a Full Stack AI Engineer.
- Mandatory proficiency in Python programming.
- Experience with Large Language Models (LLM), Generative AI, RAG, and AI Agent development.
- Hands-on experience with orchestration frameworks like LangGraph or AgentCore and production implementation of at least two AI agent projects.
Ideal Candidate Profile
- Experience or prior work exposure in the US banking domain is preferred, indicating domain-specific understanding.
- Technical depth in AgentCore and Agentic AI technologies, signaling competence in advanced AI orchestration.
- Operational focus on full-cycle AI agent development from design through production deployment in complex environments.