Full Stack AI Engineer_Agentic AI; Generative AI; LLMs
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Job Description
Structured overview of role & requirementsAbout This Role
Develop and implement AI agents using generative AI, LLMs, and retrieval-augmented generation (RAG) technologies.
Build and maintain orchestration frameworks such as LangGraph and AgentCore for AI agent operations.
Lead production deployment of at least two AI agent development projects, ensuring operational effectiveness.
Minimum Requirements
5-7 years of experience as a Full Stack AI Engineer.
Proficiency in Python programming.
Hands-on experience with LLM, Generative AI, RAG, and AI agent development.
Prior experience in US banking domain is preferable but not mandatory.
Ideal Candidate Profile
Experienced in end-to-end AI agent production implementation with measurable impact.
Comfortable working across full stack development, from orchestration frameworks to deployment.
Knowledgeable in AI technologies applied in regulated or complex domains like US banking.