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
------------------------------------------------------
Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Primary Location:
Tampa Florida United States------------------------------------------------------
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.
------------------------------------------------------
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:
------------------------------------------------------
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.
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
-
Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
-
Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
-
Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
Citi Insights
Similar Jobs
.png)
What We Do
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.
