ML Engineer I_AgentCore, Agentic AI, Banking Solutions
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Job Description
Structured overview of role & requirementsAbout 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.