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Senior LLM & Agentic AI Engineer - Assistant Vice President

Citi -
Chennai, Tamil Nadu

Apply Now

Job details

Full-time
5 days ago

Qualifications

Wealth management
Law
React
Software deployment
Java
Master's degree
Databases
Microservices
REST
Angular
Software development
APIs
Financial services
AI
Banking
Python

Full job description

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

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.

Apply Now

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