AI/ML Engineer, Engineering Excellence (Full Stack Developer)

Citi

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Irving, TX
Posted
22 days ago
Freshness
Confirmed live yesterday

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How this pay compares to similar roles

Similar $197k
$141k most similar roles pay here $241k

This listing doesn't post a salary. Most similar roles pay $162,000–$231,150.

Based on 240 similar postings.

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About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 256 open roles on FindRole.

Listed pay typically runs $140,080–$210,120 across 238 roles with salary data.

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At a glance

TL;DR · AI/ML Engineer, Engineering Excellence (Full Stack Developer)

AI/ML Engineer - Engineering Excellence (Full Stack Developer) joins the Engineering Excellence and Transformation organization as a seasoned professional to design, develop, and integrate cutting-edge AI/ML and Agentic AI solutions. This role involves building scalable, high-performance systems including advanced AI assistant tools to revolutionize engineering processes and drive operational improvements. The candidate will architect end-to-end systems using Python for machine learning workflows and Java for enterprise-grade backend services. Key responsibilities include fine-tuning Large Language Models, implementing Retrieval-Augmented Generation, and managing deployment pipelines via CI/CD, Docker, and Kubernetes on AWS, Azure, or GCP. Technical requirements include proficiency in PyTorch, TensorFlow, SQL, and NoSQL databases. The role focuses on solving complex engineering problems by creating autonomous decision-making systems and ensuring robust, production-ready AI integration within a highly regulated environment while adhering to ethical AI guidelines and security standards.

What you'll do

  • Lead the design, development, and implementation of sophisticated AI/ML, Generative AI, and Agentic AI solutions.
  • Architect end-to-end AI systems using Python for machine learning workflows and Java for enterprise-grade backend services.
  • Develop and fine-tune Large Language Models (LLMs) using parameter-efficient techniques and full fine-tuning methods.
  • Implement advanced generative AI techniques, including prompt engineering and Retrieval-Augmented Generation (RAG).
  • Manage the deployment pipeline for AI models using CI/CD, Docker, Kubernetes, and major cloud platforms.
  • Design efficient data storage and management strategies using both SQL and NoSQL database technologies.
  • Establish and enforce engineering best practices, architectural patterns, and tooling standards for full-stack AI development.
  • Manage application development teams, including performing personnel duties such as hiring and performance evaluations.

What we're looking for

  • Bachelor's degree or equivalent experience.
  • Expert proficiency in Python for AI/ML development, including data manipulation and machine learning frameworks.
  • Strong proficiency in Java for building scalable enterprise applications using Spring Boot and Microservices.
  • Experience with Generative AI, Agentic AI principles, LLM fine-tuning, and RAG systems.
  • Proficiency with machine learning frameworks (PyTorch, TensorFlow) and NLP techniques.
  • Solid experience with SQL and NoSQL database technologies and integration with applications.
  • Extensive hands-on experience with major cloud platforms (AWS, Azure, or GCP) and CI/CD DevOps practices.
  • 5-8 years in a product development or product management environment (preferred).

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