GenAI Developer

Overview

GenAI Developer for Citi’s Controls Technology team, supporting the development and integration of retrieval-grounded, context-aware, and agentic generative AI applications.

What you'll do

• Build and integrate GenAI applications using pre-trained and hosted foundation models via managed APIs and open-model endpoints.
• Implement context engineering workflows to create reliable, token-efficient prompts.
• Develop Retrieval-Augmented Generation (RAG) components including chunking, embeddings, and search.
• Contribute to knowledge graph and Graph RAG pipelines to enable grounded, traceable responses.
• Help build agentic workflows with tool-calling and basic planning/memory using frameworks such as Google ADK, LangGraph, or CrewAI.
• Integrate agents with external tools and data sources using MCP, with exposure to A2A.
• Support deployment, monitoring, and maintenance in production; perform ingestion and basic API development.

What you'll need

• Proficiency in Python for GenAI development, data preprocessing, and scripting.
• Solid understanding of foundation models/LLMs, tokenization, embeddings, and context windows.
• Hands-on experience building RAG systems, including chunking, vector databases, and semantic search.
• Familiarity with knowledge graphs and interest in Graph RAG.
• Exposure to agentic AI development using frameworks such as Google ADK, LangGraph, CrewAI, or the OpenAI Agents SDK.
• Awareness of agent tooling/protocols including tool/function calling and MCP (A2A is a plus).
• Working knowledge of version control with Git and application deployment/containerization with Docker.