GenAI Developer: Agentic AI & RAG Engineer

Citi; New York (NY); Hybrid; USD 26,000 - 42,000; Full time

Job summary

Citi seeks a GenAI Developer to join the Controls Technology team to build and integrate generative AI solutions. You will work with seasoned AI architects to develop retrieval-grounded, context-aware, and agentic AI applications using pre-trained models and hosted endpoints.

In this hands-on role, you will own well-scoped components, learn patterns from seniors, and grow your technical depth while contributing to production GenAI deployments.

Qualifications

• Bachelor's or master's degree in CS/Data Science/AI or related field.
• 4+ years in software/AI development, with GenAI/agentic AI experience.
• Experience with cloud AI/ML environments is a plus.

Responsibilities

• Build and integrate GenAI applications using foundation models and hosted APIs.
• Implement context engineering workflows and RAG components.
• Develop agentic workflows and tool-calling with frameworks such as ADK/LangGraph/CrewAI.

Skills

Python

GenAI concepts

Prompt engineering

RAG systems

Knowledge graphs

Graph RAG

Google ADK

LangGraph

CrewAI

A2A protocol

LangChain

LlamaIndex

Docker

Git

OpenAI API

Education

Bachelor's or Master's degree in CS/Data Science/ AI or related field

Tools

LangChain

LlamaIndex

Google ADK

CrewAI

OpenAI API

Semantic search

Job description

Citi seeks a GenAI Developer to join the Controls Technology team to build and integrate generative AI solutions. You will work with seasoned AI architects to develop retrieval-grounded, context-aware, and agentic AI applications using pre-trained models and hosted endpoints.

In this hands-on role, you will own well-scoped components, learn patterns from seniors, and grow your technical depth while contributing to production GenAI deployments.