ML Engineer I_AgentCore, Agentic AI, Banking Solutions
UST (company site, opens in a new tab)5–7 yrsMumbaiOn-siteDirect career pageEst. 20–40 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and implement AI agents using Large Language Models (LLM), Generative AI, Retrieval-Augmented Generation (RAG), and agent development frameworks.
- Lead production deployment of at least two AI agent solutions involving orchestration tools like LangGraph and AgentCore.
- Apply expertise to banking domain solutions, preferably within US banking context.
Minimum Requirements
- 5-7 years total experience as a Full Stack AI Engineer.
- Proficient in Python programming.
- Hands-on experience with agent development frameworks such as AgentCore and LangGraph.
- Prior production implementation experience of at least two AI agents; US banking domain experience preferred but not mandatory.
Ideal Candidate Profile
- Experienced in end-to-end AI agent lifecycle including design, orchestration, and deployment, emphasizing measurable production impact.
- Strong domain knowledge or exposure to US banking solutions enhances fit for role.
- Comfortable working with cutting-edge AI technologies and frameworks focusing on agentic AI and banking applications.