Senior LLM and Agentic AI Engineer - Assistant Vice President

Citi; New York (NY); Hybrid; USD 41.000 - 83.000; Vollzeit

Zusammenfassung

Citi in Chennai, India, is seeking a hands-on Senior LLM and Agentic AI Engineer to design, build, and scale next‑generation AI‑powered experiences. You will work on Generative AI, Agentic AI, RAG, and cloud‑native architectures to enhance customer engagement and automate workflows.

The role requires 8–11 years in software engineering, 2+ years building GenAI or LLM apps, and strong skills in Java and/or Python, REST APIs, and cloud platforms.

Qualifikationen

• 8–11 years of software engineering experience.
• 2+ years building GenAI or LLM-powered applications.
• Experience with GPT/Claude/Gemini or similar LLMs.
• Proficiency in Java and/or Python.
• Experience designing scalable backend services and REST APIs.
• Familiar with cloud platforms and modern software practices.

Aufgaben

• Design and deploy enterprise-grade GenAI applications.
• Build Agentic AI solutions and multi-agent systems.
• Develop RAG architectures and integrate vector databases.
• Monitor performance, costs, and governance of AI systems.

Kenntnisse

GenAI

LLM frameworks

Java

Python

REST APIs

Cloud platforms

Agentic AI

Prompt engineering

Tools

LangChain

LangGraph

CrewAI

Vector databases

RAG

Jobbeschreibung

Senior LLM and Agentic AI Engineer - Assistant Vice President

Location(s):

Chennai, Tamil Nadu, India

Job Type:

Hybrid

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 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.

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.

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