We are seeking a skilled and passionate GenAI Engineer to join our team in Tampa, FL, and contribute to advancing our AI/ML capabilities within Citi Finance projects. This position focuses on the development and implementation of GenAI solutions, including chatbot development, and working with both structured and unstructured data. The successful candidate will implement cutting-edge GenAI applications for various financial use cases, leveraging strong Python skills and experience in areas like RAG pipelines, vector databases, prompt engineering, LLMs (Llama, Gemini, GPT-4), and dynamic SQL.

Responsibilities

• Design, develop, and deploy end-to-end GenAI solutions, including chatbot development, for diverse financial applications such as personalized financial advice, fraud detection, risk management, and automated reporting. Experience in real-world project implementation is essential.

• Process and analyze both structured and unstructured data to train and optimize GenAI models, leveraging techniques for information extraction and knowledge representation.

• Collaborate effectively with a team of AI/ML engineers, contributing to expertise in GenAI technologies and best practices, including RAG pipelines, vector databases, prompt engineering techniques, and chatbot development.

• Implement best practices for GenAI development, ensuring code quality, security, maintainability, and scalability of production-ready applications.

• Collaborate with other technical teams to seamlessly integrate GenAI solutions into existing systems and workflows.

• Utilize text-to-SQL to efficiently query and retrieve data from relational databases, integrating this data into GenAI pipelines.

• Conduct continuous research and evaluation of emerging GenAI technologies, recommending and implementing relevant solutions.

• Contribute directly to the codebase and participate in technical decision-making, demonstrating hands-on technical expertise in GenAI implementation.

• Work closely with stakeholders to understand business needs and translate them into effective technical solutions using GenAI.

Required Skills and Qualifications

• Bachelor's or Master’s degree in computer science, Engineering, or a related field.

• 5-8 years of software engineering experience with a strong focus on AI/ML solutions.

• 2+ years of real-world experience in implementing GenAI solutions, including demonstrable experience deploying production-ready GenAI and Chatbot applications.

• Understanding of GenAI models and architectures, with practical experience applying these models to real-world problems.

• Strong Python programming skills with extensive experience using relevant packages for GenAI and chatbot development.

• Experience processing and analyzing both structured and unstructured data, utilizing techniques like NLP and information retrieval.

• Ability to design and implement RAG pipelines.

• Hands-on experience with LLMs like Llama, Gemini, and GPT-4.

• Proficiency in text-to-SQL implementation leveraging LLMs for data extraction and insight generation from relational databases.

• Experience with cloud platforms and MLOps tools.

• Good understanding of Agentic AI concepts with POC exposure as an added advantage.

• Strong understanding of software engineering principles.

• Excellent communication, collaboration, and problem-solving skills.

• Experience in utilizing AI tools for development and deployment.

Preferred Qualifications

• Experience with financial data and applications.

• Familiarity with specific GenAI applications in finance.

• Contributions to open-source projects related to GenAI or machine learning.

Technology Stack

• Programming Languages: Python (strong proficiency required), potentially Java or Scala.

• Python Packages: Transformers, LangChain, LangGraph, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, Requests, Beautiful Soup, SQLAlchemy, and other relevant packages for data processing, web development, chatbot development, and database interaction.

• Deep Learning Frameworks: TensorFlow, PyTorch

• GenAI Libraries/Frameworks: Transformers (Hugging Face), LangChain, LangGraph

• LLMs: Llama, Gemini, GPT-4

• Vector Databases: PostgresDB

• Cloud Platforms: AWS, Azure, or GCP

• MLOps Tools: MLflow, Kubeflow

• Data Science Libraries: Pandas, NumPy, Scikit-learn

• Containerization: Docker, Kubernetes

• Version Control: Git

• Databases: SQL databases (e.g., PostgreSQL, MySQL, SQL Server) – experience with text-to-SQL is essential.

Job Description: GenAI Engineer/ AI/ML Engineer - Citi Finance Tech (Tampa, FL, USA)

Role Overview

We are seeking a skilled and passionate GenAI Engineer to join our team in Tampa, FL, and contribute to advancing our AI/ML capabilities within Citi Finance projects. This position focuses on the development and implementation of GenAI solutions, including chatbot development, and working with both structured and unstructured data. The successful candidate will implement cutting-edge GenAI applications for various financial use cases, leveraging strong Python skills and experience in areas like RAG pipelines, vector databases, prompt engineering, LLMs (Llama, Gemini, GPT-4), and dynamic SQL.

Responsibilities

• Design, develop, and deploy end-to-end GenAI solutions, including chatbot development, for diverse financial applications such as personalized financial advice, fraud detection, risk management, and automated reporting. Experience in real-world project implementation is essential.
• Process and analyze both structured and unstructured data to train and optimize GenAI models, leveraging techniques for information extraction and knowledge representation.
• Collaborate effectively with a team of AI/ML engineers, contributing to expertise in GenAI technologies and best practices, including RAG pipelines, vector databases, prompt engineering techniques, and chatbot development.
• Implement best practices for GenAI development, ensuring code quality, security, maintainability, and scalability of production-ready applications.
• Collaborate with other technical teams to seamlessly integrate GenAI solutions into existing systems and workflows.
• Utilize text-to-SQL to efficiently query and retrieve data from relational databases, integrating this data into GenAI pipelines.
• Conduct continuous research and evaluation of emerging GenAI technologies, recommending and implementing relevant solutions.
• Contribute directly to the codebase and participate in technical decision-making, demonstrating hands-on technical expertise in GenAI implementation.
• Work closely with stakeholders to understand business needs and translate them into effective technical solutions using GenAI.

Required Skills and Qualifications

• Bachelor's or Master’s degree in computer science, Engineering, or a related field.
• 5-8 years of software engineering experience with a strong focus on AI/ML solutions.
• 2+ years of real-world experience in implementing GenAI solutions, including demonstrable experience deploying production-ready GenAI and Chatbot applications.
• Understanding of GenAI models and architectures, with practical experience applying these models to real-world problems.
• Strong Python programming skills with extensive experience using relevant packages for GenAI and chatbot development.
• Experience processing and analyzing both structured and unstructured data, utilizing techniques like NLP and information retrieval.
• Ability to design and implement RAG pipelines.
• Hands-on experience with LLMs like Llama, Gemini, and GPT-4.
• Proficiency in text-to-SQL implementation leveraging LLMs for data extraction and insight generation from relational databases.
• Experience with cloud platforms and MLOps tools.
• Good understanding of Agentic AI concepts with POC exposure as an added advantage.
• Strong understanding of software engineering principles.
• Excellent communication, collaboration, and problem-solving skills.
• Experience in utilizing AI tools for development and deployment.

Preferred Qualifications

• Experience with financial data and applications.
• Familiarity with specific GenAI applications in finance.
• Contributions to open-source projects related to GenAI or machine learning.

Technology Stack

• Programming Languages: Python (strong proficiency required), potentially Java or Scala.
• Python Packages: Transformers, LangChain, LangGraph, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, Requests, Beautiful Soup, SQLAlchemy, and other relevant packages for data processing, web development, chatbot development, and database interaction.
• Deep Learning Frameworks: TensorFlow, PyTorch
• GenAI Libraries/Frameworks: Transformers (Hugging Face), LangChain, LangGraph
• LLMs: Llama, Gemini, GPT-4
• Vector Databases: PostgresDB
• Cloud Platforms: AWS, Azure, or GCP
• MLOps Tools: MLflow, Kubeflow
• Data Science Libraries: Pandas, NumPy, Scikit-learn
• Containerization: Docker, Kubernetes
• Version Control: Git
• Databases: SQL databases (e.g., PostgreSQL, MySQL, SQL Server) – experience with text-to-SQL is essential.

Location

Tampa, FL

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Primary Location:

Tampa Florida United States

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Primary Location Full Time Salary Range:

$96,960.00 - $145,440.00

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.

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

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

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Anticipated Posting Close Date:

Feb 27, 2026

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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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