Python GenAI Engineer — RAG & Agentic AI (Hybrid)

Citi; New York (NY); Hybrid; USD 15,000 - 23,000; Full time

Job summary

Citi in Pune, India is seeking a Python AI Engineer to join the Controls Technology team. You will work on retrieval-grounded, context-aware GenAI applications, under guidance of senior engineers to implement reliable AI features using hosted foundation models.

The role emphasizes building RAG, knowledge graphs, agentic workflows, and integration with external tools through MCP/A2A protocols, with production deployment and collaboration across data scientists and engineers.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
• 3–6 years of professional software/AI development experience with exposure to Generative AI and agentic AI.
• Experience contributing to AI/GenAI or software projects in a collaborative team setting.
• Exposure to cloud-based AI/ML environments (AWS, GCP, or Azure) is a plus.

Responsibilities

• Assist in building and integrating generative AI applications using pre-trained and hosted foundation models.
• Support the implementation of context engineering workflows — assembling system instructions, retrieved knowledge, tool definitions, and conversation memory into reliable, token-efficient prompts, following established patterns.
• Contribute to prompt engineering (zero-shot, few-shot, chain-of-thought, role-based prompting) for AI-powered workflows.
• Help develop and maintain Retrieval-Augmented Generation (RAG) components, including chunking, embedding, and semantic/keyword search.
• Support the development of knowledge graph and Graph RAG pipelines under guidance to enable grounded, traceable responses.
• Contribute to agentic workflows — helping build AI agents with tool-calling and basic planning/memory, using frameworks such as Google ADK, LangGraph, or CrewAI.
• Assist with integrating agents to external tools and data sources via the Model Context Protocol (MCP), with exposure to the Agent2Agent (A2A) protocol.
• Support the deployment, monitoring, and maintenance of GenAI and agentic applications in production environments.
• Perform data preprocessing, document ingestion, and basic API development for AI applications.
• Collaborate with data scientists and engineers to integrate AI capabilities into products.
• Participate in code reviews, testing, and documentation to ensure quality and reliability.
• Stay curious about advancements in GenAI and agentic AI, and share learnings with the team.

Education

Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field

Tools

Python

GenAI concepts

Prompt engineering

RAG

Knowledge graphs

Agentic AI

MCP protocol

A2A protocol

Session management

Memory

Guardrails

GenAI APIs

LangChain

LlamaIndex

Docker

Git

AI compliance

Data privacy

Job description

Citi in Pune, India is seeking a Python AI Engineer to join the Controls Technology team. You will work on retrieval-grounded, context-aware GenAI applications, under guidance of senior engineers to implement reliable AI features using hosted foundation models.

The role emphasizes building RAG, knowledge graphs, agentic workflows, and integration with external tools through MCP/A2A protocols, with production deployment and collaboration across data scientists and engineers.