Generative AI Engineer, Officer

Citi

Remote

Quick summary

Work type
Remote
Location
Jacksonville, Florida
Salary
$76,560–$106,840 / yr
Posted
4 days ago
Nearby
34 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k
This role $92k
$56k most similar roles pay here $273k

This role pays less than 99% of similar roles. Most pay $167,537–$246,150 — the shaded band above. At the midpoint, this role pays about $92k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

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 380 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 354 roles with salary data.

Most-posted roles

View all roles at Citi

At a glance

TL;DR · Generative AI Engineer, Officer

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The USCC Architecture and AI Engineering group seeks a Generative AI/AI Engineer to join their dynamic team, focusing on cutting-edge solutions in the fast-paced world of generative and agentic AI. This hands-on role involves rapid prototyping, implementing machine learning models, building robust systems, managing data pipelines, deploying applications using MLOps practices, and collaborating with senior engineers to solve complex business problems. The ideal candidate should be proficient in Python, familiar with AI-centric libraries like NumPy and Scikit-learn, and have experience with frameworks such as LangChain and Hugging Face Transformers. They must also possess knowledge of deployment tools like Docker and OpenShift, and stay updated on the latest AI trends to innovate continuously. This role requires a strong background in machine learning algorithms, generative AI, and data handling, making it ideal for those passionate about turning ambitious ideas into impactful technological solutions.

Skills

Python FastAPI Docker Kubernetes OpenShift PyTorch TensorFlow Pandas NumPy Scikit-learn Hugging Face LangChain LlamaIndex PostgreSQL pgvector Pinecone Chroma Prompt Engineering MLOps CI/CD Generative AI Large Language Models Asynchronous Programming Vector DBs

What you'll do

  • Develop and prototype Generative and Agentic AI applications with speed and agility.
  • Implement, train, and fine-tune machine learning models to solve complex business problems.
  • Build robust and scalable code for AI/ML systems focusing on production-level quality.
  • Engineer data handling pipelines to ensure high-quality data for training and inference.
  • Deploy AI applications using MLOps best practices in containerized environments like OpenShift.

What we're looking for

  • 2+ years of experience in product development or management.
  • Proficient in Python and AI-centric libraries (NumPy, Pandas, Scikit-learn).
  • Experience with machine learning algorithms and deep learning architectures.
  • Hands-on expertise in Generative AI, Large Language Models, and Agentic AI frameworks.
  • Strong data handling skills including cleaning, feature engineering, and validation.
  • Familiarity with MLOps principles, Docker, and deployment on Kubernetes/OpenShift.

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