Core Data: AI Enablement Engineer - Manager
Core
Design, build, and integrate agentic AI solutions (Gen AI, RAG) into asset servicing business processes to deliver data and insights to clients.
Role type
Manager-level AI Enablement Engineer (Agentic AI/LLM)
Builds
AI agent pipelines, RAG systems, and backend services for investment servicing
Domain
Financial services / Asset servicing / Generative AI
Deliverable
production ML models | product features
Required skills
Python, LangChain, LangGraph, RAG, Azure OpenAI, Prompt Engineering, FastAPI, Vector Databases, LLM Evaluation
Preferred skills
MLflow, LangSmith, Snowflake, Docker, Kubernetes, AutoGen
Technologies
LangChain, LangGraph, Azure OpenAI, FastAPI, Snowflake, Azure Blob Storage, PostgreSQL, FAISS, Chroma, Azure AI Search, MLflow, LangSmith, RAGAS
Responsibilities
Develop AI agent pipelines using LangChain and LangGraph; Build and extend RAG pipelines for knowledge-intensive tasks; Integrate AI agents with data stores and APIs; Design prompt engineering strategies for LLMs; Build and expose agent capabilities via FastAPI; Optimize agent pipelines for performance and scalability; Track and manage AI/LLM experiments using MLflow.
Seniority
Manager, hands-on IC
