Senior LLM and Agentic AI Engineer - Assistant Vice President

Citigroup Inc.; Chennai District; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

Citigroup Inc. is seeking a hands-on Senior AI Engineer to design, build, and scale next-generation AI-powered digital experiences. You will work on GenAI, Agentic AI, RAG, and cloud-native architectures to enhance customer engagement and automate workflows at scale.

This role requires 8–11 years of software engineering and 2+ years building GenAI or LLM-powered applications. Join Citi to deliver production-grade AI solutions that drive efficiency and personalized banking experiences.

Qualifications

• 8–11 years of software engineering experience.
• 2+ years building GenAI or LLM-powered applications.
• Strong experience with GPT, Claude, Gemini, or similar LLMs.
• Strong programming skills in Java and/or Python.
• Experience building REST APIs and microservices.
• Familiarity with cloud platforms and modern software development practices.

Responsibilities

• Design and deploy GenAI applications at scale using LLMs.
• Develop multi-agent systems to automate customer journeys and workflows.
• Build scalable backend services and APIs; integrate AI into customer-facing apps.
• Monitor model performance, latency, and operational costs; Govern AI usage.

Skills

GenAI apps

LangChain frameworks

RAG integration

Vector databases

Prompt engineering

Java/Python

REST APIs

Cloud platforms

Education

Bachelor’s degree in CS/EE

Tools

LangChain

LangGraph

CrewAI

VectorDBs

REST APIs

Microservices

Job description

About the Role

We are looking for a hands-on Senior AI Engineer to design, build, and scale next-generation AI-powered digital experiences. You will work on cutting-edge Generative AI, Agentic AI, Conversational AI, and Machine Learning solutions that enhance customer engagement, automate workflows, and deliver personalized experiences at scale.

This role is ideal for engineers passionate about building production-grade AI systems using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and modern cloud-native architectures.

What You'll Do

Generative AI & Agentic AI

• Design and deploy enterprise-grade GenAI applications using GPT, Claude, Gemini, or equivalent LLMs.
• Build Agentic AI solutions using frameworks such as LangChain, LangGraph, CrewAI, or similar.
• Develop multi-agent systems to automate customer journeys and business workflows.
• Implement advanced prompt engineering, evaluation frameworks, and guardrails to improve AI response quality.

RAG & Knowledge Systems

• Design and optimize Retrieval-Augmented Generation (RAG) architectures.
• Integrate vector databases and enterprise knowledge repositories.
• Improve retrieval accuracy, response relevance, and grounding of AI-generated content.

Software Engineering

• Build scalable backend services and APIs using Java and/or Python.
• Develop cloud-native microservices and integrate AI capabilities into customer-facing applications.
• Collaborate with architects, product managers, and business stakeholders to deliver high-impact solutions.

AI Operations & Governance

• Monitor model performance, latency, and operational costs.
• Implement AI governance, observability, and responsible AI practices.
• Optimize LLM usage and inference costs in production environments.

Required Skills

Must Have

• 8-11 years of software engineering experience.
• 2+ years of hands-on experience building GenAI or LLM-powered applications.
• Strong experience with:
  • GPT, Claude, Gemini, or similar LLMs
  • LangChain, LangGraph, CrewAI, or AI Agent frameworks
  • Retrieval-Augmented Generation (RAG)
  • Vector databases
  • Prompt Engineering
• Strong programming skills in Java and/or Python.
• Experience building REST APIs and microservices.
• Familiarity with cloud platforms and modern software development practices.

Nice to Have

• MLOps experience (deployment, monitoring, model lifecycle management).
• Experience with recommendation engines or conversational AI platforms.
• Knowledge of financial services, wealth management, or digital banking.
• Experience with React, Angular, or modern frontend frameworks.

What Success Looks Like

• Build scalable AI-powered digital experiences used by millions of customers.
• Deliver production-ready Agentic AI and GenAI solutions.
• Improve customer engagement, automation, and operational efficiency through AI innovation.
• Drive adoption of emerging AI technologies across the organization.

Job Family Group

Technology

Job Family

Digital Software Engineering

Time Type

Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.