Senior Generative AI Developer

Citi; New York (NY); On-site; USD 142,000 - 213,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

401(k)

Life insurance

Disability insurance

Wellness program

Paid time off

Job summary

Citi in New York seeks a Senior Generative AI Developer to architect, build, and operationalize GenAI and LLM solutions for the COO Technology Division. This hands‑on role collaborates with operations leads, data engineers, product managers, and architects to deliver enterprise‑grade AI capabilities at scale.

You will mentor developers, lead code reviews, and shape GenAI standards while ensuring governance and data privacy across deployments.

Qualifications

• 6+ years of software engineering experience with 2+ years in Generative AI/LLM development.
• Expert-level Python with API development (FastAPI, Flask).
• Deep hands-on with LangChain, LangGraph, LlamaIndex and RAG architectures.
• Experience with Google Cloud AI Platform and multiple LLM providers (OpenAI/Azure/Anthropic/AWS/Vertex).
• Strong prompt engineering, few-shot learning, and chain-of-thought techniques.
• Cloud experience on AWS, Azure, or GCP; SQL/NoSQL and vector databases.
• CI/CD, Docker, Kubernetes, Git; testing and production reliability.
• Financial services domain experience is a plus.

Responsibilities

• Design and build end-to-end GenAI pipelines including LLM integrations, RAG, and autonomous agents.
• Develop production-grade Python services and APIs powering AI features across COO platforms.
• Integrate and fine-tune LLMs and embeddings for domain-specific financial use cases.
• Create and maintain ML/GenAI deployment pipelines with robust MLOps practices.
• Develop multi-agent orchestration for complex operational workflows.
• Collaborate with AI Risk and Compliance for governance and privacy standards.
• Design data pipelines with vector databases (Pinecone, Weaviate, pgvector).
• Mentor juniors, lead code reviews, and contribute to GenAI standards.

Skills

Python

GenAI

LLM

Prompt engineering

Few-shot learning

Chain-of-thought

RAG

OpenAI API

Azure OpenAI

AWS Bedrock

Vertex AI

LangChain

LangGraph

LlamaIndex

Pinecone

Kubernetes

Docker

SQL

NoSQL

Vector databases

PostgreSQL

Cloud platforms

Education

Bachelor's degree

Master's degree

Tools

LangChain

LangGraph

LlamaIndex

Google Cloud AI Platform

MLflow

Docker

Kubernetes

GitHub Actions

Job description

About the Role

We are looking for a Senior Generative AI Developer to join our COO Technology Division in New York. In this high-impact role, you will architect, develop, and operationalize cutting-edge Generative AI and Large Language Model (LLM) solutions that directly transform how Citi's operational teams work. You will collaborate with cross-functional stakeholders - including operations leads, data engineers, product managers, and enterprise architects to deliver enterprise-grade AI capabilities at scale.

This is a hands‑on engineering role for a builder who thrives at the intersection of applied AI research and production software engineering.

Key Responsibilities

• Design & Build GenAI Solutions: Architect and implement end-to-end Generative AI pipelines including LLM integrations, Retrieval-Augmented Generation (RAG) systems, autonomous AI agents, and prompt engineering frameworks.
• Python Development: Develop robust, scalable, and production-ready Python services and APIs that power AI-driven features across COO platforms.
• Model Integration & Fine‑tuning: Evaluate, integrate, and fine‑tune LLMs (e.g., GPT‑5, Claude, Mistral) and embedding models for domain‑specific financial use cases.
• MLOps & Deployment: Build and maintain ML/GenAI deployment pipelines using modern MLOps practices, ensuring reliability, observability, and governance.
• Agentic Workflows: Design and implement multi‑agent orchestration frameworks (e.g., LangGraph, Google ADK) for complex, multi‑step operational workflows.
• Enterprise AI Governance: Collaborate with Citi's AI Risk and Compliance teams to ensure all AI solutions align with regulatory requirements, responsible AI frameworks, and data privacy standards.
• Data Engineering: Design and optimize data pipelines feeding AI systems, working with vector databases (e.g., Pinecone, Weaviate, pgvector) and enterprise data platforms.
• Technical Leadership: Mentor junior developers, lead code reviews, and contribute to GenAI standards and best practices across the COO Technology organization.
• Stakeholder Collaboration: Translate complex business requirements from COO operations stakeholders into technical AI solutions, providing clear communication of trade‑offs and timelines.

Required Qualifications

• Experience: 6+ years of professional software engineering experience, with at least 2+ years focused on Generative AI / LLM application development.
• Python: Expert‑level Python proficiency — including async programming, API development (FastAPI, Flask), and software design patterns.
• GenAI & LLM Stack:
  • Deep hands‑on experience with LLM frameworks: LangChain, LangGraph, LlamaIndex etc
  • Hands on experience with Google Cloud AI Platform
  • Proven experience with RAG architectures, embedding pipelines, and vector search
  • Strong understanding of prompt engineering, few‑shot learning, and chain‑of‑thought techniques
  • Experience integrating with LLM APIs: OpenAI, Azure OpenAI, Anthropic, AWS Bedrock, or Google Vertex AI
• Machine Learning: Solid grounding in ML fundamentals; familiarity with model evaluation, fine‑tuning (LoRA, PEFT), and inference optimization.
• Cloud Platforms: Hands‑on experience with at least one major cloud provider — AWS, Azure, or GCP — particularly managed AI/ML services.
• Data & Databases: Proficiency with SQL, NoSQL, and vector databases (Pinecone, Weaviate, Chroma, pgvector).
• Software Engineering Practices: Strong understanding of CI/CD pipelines, containerization (Docker, Kubernetes), version control (Git), and automated testing.
• Financial Services Acumen (Preferred): Prior experience in banking, fintech, or a regulated industry is a strong plus.

Preferred Qualifications

• Experience with multi‑agent orchestration frameworks (MS AgentFramework, ADK, Strands, LangGraph)
• Familiarity with MLflow, Weights & Biases, or similar experiment tracking and model management tools
• Knowledge of responsible AI practices: bias detection, explainability, hallucination mitigation
• Exposure to Kafka, Spark, or Airflow for data pipeline engineering
• Experience working in an Agile/SAFe delivery environment
• Advanced degree (M.S.) in Computer Science, AI/ML, or a related discipline — or equivalent demonstrated experience

Technical Stack (Working Knowledge Expected)

Languages: Python (expert), SQL, Bash

GenAI Frameworks: LangChain, LlamaIndex, LangGraph, Semantic Kernel

LLM Providers: OpenAI / Azure OpenAI, Anthropic, AWS Bedrock, Google Vertex AI

Vector Databases: Pinecone, Weaviate, pgvector, Chroma

Cloud: AWS / Azure / GCP

MLOps: MLflow, Docker, Kubernetes, GitHub Actions

Data Engineering: Spark, Airflow, Kafka

Databases: PostgreSQL, MongoDB, Redis

Education

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred

Time Type:

Full time

Primary Location:

New York New York United States

Primary Location Full Time Salary Range:

$142,320.00 - $213,480.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards.

• Medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

Illinois residents – AI Notice and Right

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.

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

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

Anticipated Posting Close Date:

Aug 14, 2026