Citigroup, Inc

Gen AI-ML Engineer, AVP

Citigroup, Inc • $107K — $160K *
Irving, TX 75061Hybrid
Finance & Insurance
5 - 7 years of experience
Reposted Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 5+ years of experience in AI/ML development with a focus on GenAI applications.
  • Deep understanding of GenAI models and architectures, including transformers and LLMs.
  • Extensive experience with prompt engineering and fine-tuning LLMs.
  • Expertise in Python and relevant libraries for AI/ML.
  • Experience with vector databases and RAG pipelines.
  • Strong software engineering skills, including cloud infrastructure management.
  • Familiarity with MLOps principles and tools.

Responsibilities

  • Design and develop GenAI solutions for financial applications.
  • Implement intelligent chatbots to enhance user interaction.
  • Analyze large datasets for insights and decision-making.
  • Architect efficient RAG pipelines using cutting-edge tools.
  • Refine advanced prompting strategies for LLMs.
  • Evaluate and analyze GenAI model performance.
  • Collaborate with engineering teams to maintain deployed models.

Benefits

  • Comprehensive medical, dental, and vision coverage.
  • 401(k) retirement plan with company match.
  • Life, accident, and disability insurance.
  • Wellness programs to support employee health.
  • Generous paid time off, including vacation and sick leave.
Full Job Description
Overview of the Role

The Gen AI-ML Engineer is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.

Responsibilities
  • Design, develop, and implement GenAI solutions for various financial applications, including personalized recommendations, risk assessment, fraud detection, and automated reporting. Explore and experiment with advanced GenAI concepts like Agentic AI.
  • Design and implement intelligent chatbots.
  • Process and analyze large datasets of structured and unstructured financial data.
  • Architect and implement efficient RAG pipelines, leveraging tools like LlamaIndex and LangChain.
  • Develop and refine advanced prompting strategies for LLMs.
  • Test, evaluate, and analyze the performance of LLM and other GenAI models.
  • Collaborate closely with engineering teams to deploy and maintain GenAI models in production environments, including containerization, CI/CD pipelines, and cloud infrastructure management.
  • Communicate effectively with business stakeholders.
  • Stay up-to-date with the latest advancements in GenAI research and development, including areas like Agentic AI.


Required Skills and Qualifications
  • 5 years+ of experience in AI/ML development, with a proven track record of building and deploying sophisticated GenAI applications.
  • Deep understanding of GenAI models and architectures, including transformers, LLMs (e.g., Llama, Gemini, GPT-4), GANs, and diffusion models. Familiarity with Agentic AI concepts.
  • Extensive experience with prompt engineering, fine-tuning LLMs, and evaluating their performance.
  • Expert-level Python programming skills and proficiency with relevant libraries (e.g., Transformers, LangChain, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, LlamaIndex).
  • Experience with vector databases (e.g., Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions) and implementing RAG pipelines using tools like LlamaIndex and LangChain.
  • Strong software engineering skills, including containerization (Docker, Kubernetes), CI/CD pipelines, and cloud infrastructure management (AWS, Azure, GCP).
  • Strong analytical, problem-solving, and communication skills.
  • Experience with MLOps principles and tools.
  • Excellent collaboration skills.


Technology Stack
  • Programming Languages: Python (expert proficiency required)
  • Python Packages: Transformers, LangChain, LlamaIndex, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, and other relevant data science, machine learning, and web development libraries.
  • Deep Learning Frameworks: TensorFlow, PyTorch
  • LLMs: Llama, Gemini, GPT-4, and other advanced LLMs.
  • Vector Databases: Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions (pgvector).
  • Cloud Platforms: AWS, Azure, GCP
  • MLOps Tools: MLflow, Kubeflow, or similar.
  • Containerization: Docker, Kubernetes
  • CI/CD Tools: GitHub Actions, Jenkins, or similar.
  • Version Control: Git
  • Data Visualization & Reporting: Tableau, Power BI, matplotlib, seaborn.
  • Databases: SQL and NoSQL databases.


Education:
  • Bachelor's degree/University degree or equivalent experience


Job Family Group:
Technology

Job Family:
Applications Development

Time Type:
Full time

Primary Location:
Irving Texas United States

Primary Location Full Time Salary Range:
$107,120.00 - $160,680.00

In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers 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.

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:
Jun 15, 2026

About Citigroup, Inc

Citigroup is a financial services holding company that provides financial products and services. The company operates through two segments, Global Consumer Banking (GCB) and Institutional Clients Group (ICG). The GCB segment offers traditional banking services to retail customers through retail banking, commercial banking, Citi-branded cards, and Citi retail services. The ICG segment offers various banking, and financial products and services to corporate, institutional, public sector, and high-net-worth clients. This segment provides wholesale banking products and services, including fixed-income and equity sales and trading, foreign exchange, prime brokerage, derivative services, equity and fixed-income research, corporate lending, investment banking, and advisory services, private banking, cash management, trade finance, and securities services. Citi is committed to sustainability and social responsibility, and the company invests in initiatives that promote economic progress.

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Learn more about Citigroup, Inc
Market Cap
$1.3 billion
Industry
Finance & Insurance
Net Income
$89.6 million
Founded
1812
5 Year Trend
+4.6%
NASDAQ
C
* Ladders Estimates

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