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Strong employer brand and metro location, but niche LLM/agent specialization and seniority moderate competition.
Highly specialized LLM, agentic frameworks, and financial compliance needs reduce transferability across industries.
Explicit 8+ years and many mandatory LLM/agent technologies indicate strict technical filters.
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Develop and maintain AI agent pipelines and integrate them with data storage and APIs to support end-to-end business workflows in asset servicing.
Design and optimize retrieval-augmented generation (RAG) and large language model (LLM) based solutions including prompt engineering and agent orchestration using LangChain and LangGraph.
Track and manage AI experiments, collaborate with cross-functional teams to translate business requirements into AI solutions, and ensure compliance with responsible AI principles in a financial services context.
8+ years of professional experience with AI/ML and software engineering.
Bachelor's or Master's degree in Computer Science, AI/ML, or related field.
Proficiency in Python and hands-on experience with LangChain, LangGraph, RAG pipelines, Azure OpenAI, FastAPI, and integration with databases and storage (e.g., Snowflake, Azure Blob Storage).
Work Experience Required: 8+ years; Notice Period: Not explicitly mentioned in the JD.
Experienced engineer skilled in building and scaling advanced AI agent frameworks and RAG pipelines within cloud environments (Azure).
Strong background in integrating LLMs with complex enterprise data workflows and deploying AI services using modern technologies like FastAPI.
Skilled in managing AI experiment lifecycle and evaluation metrics, capable of collaborating cross-functionally, and ensuring responsible AI use in regulated financial services domain.