GenAI Developer: RAG & Agentic Workflows

Citi; New York (NY); Hybrid; USD 94,000 - 142,000; Full time

Job summary

Citi is seeking a Generative AI Developer to join the Controls Technology team. You will build and integrate GenAI apps using pre-trained models and hosted APIs, focusing on context engineering, RAG, and agentic workflows.

The role emphasizes reliability, collaboration with architects, and deployment in production environments. Ideal candidates have 3–5 years in software/AI, strong Python skills, and hands-on experience with GenAI tools, LangChain, and AI governance practices.

Qualifications

• Bachelor's or Master's in CS/Data Science/AI or related field.
• 3–5 years of software/AI development experience with GenAI.
• Experience delivering AI GenAI projects in team settings.

Responsibilities

• Build and integrate GenAI apps using pre-trained models and GenAI APIs.
• Design context engineering workflows with retrieved knowledge and prompts.
• Develop and maintain RAG systems and knowledge graphs.
• Develop agentic AI workflows with tool-calling and memory.
• Collaborate with data scientists and engineers for integration.

Skills

Python

GenAI concepts

Prompt engineering

RAG systems

Knowledge graphs

Agentic AI

GenAI APIs

LangChain

Docker

Git

Education

Bachelor's degree

Master's degree

Tools

Google ADK

LangGraph

CrewAI

OpenAI Agents SDK

LangChain

LlamaIndex

Job description

Citi is seeking a Generative AI Developer to join the Controls Technology team. You will build and integrate GenAI apps using pre-trained models and hosted APIs, focusing on context engineering, RAG, and agentic workflows.

The role emphasizes reliability, collaboration with architects, and deployment in production environments. Ideal candidates have 3–5 years in software/AI, strong Python skills, and hands-on experience with GenAI tools, LangChain, and AI governance practices.