GenAI Engineer - GenAI Applications in Finance

Job Description

Role Overview

We are seeking a skilled and passionate GenAI Engineer to join our team in Mississauga, Canada and contribute to developing cutting-edge Generative AI (GenAI) applications within our financial operations. This role offers an exciting opportunity to gain practical experience with GenAI, LLMs, RAG pipelines, vector databases, and chatbot development using Python. You will work alongside senior data scientists and engineers, contributing to the end-to-end implementation of innovative solutions leveraging AI to transform financial processes. Strong Python skills, analytical abilities, experience with prompt engineering, and a keen interest in GenAI are essential.

Responsibilities

• Contribute to the development and fine-tuning of large language models (LLMs) and other GenAI models for financial applications.
• Assist in designing and implementing intelligent chatbots.
• Process and analyze structured and unstructured financial data to train and optimize GenAI models.
• Implement and optimize Retrieval Augmented Generation (RAG) pipelines.
• Develop and refine effective prompting strategies for LLMs, optimizing their performance for specific financial tasks.
• Test, evaluate, and analyze the performance of LLMs and other GenAI models, providing insights and recommendations for improvement.
• Contribute to model evaluation and monitoring.
• Collaborate with other data scientists, engineers, and business stakeholders.
• Participate in the end-to-end implementation of GenAI projects.
• Learn and apply best practices for GenAI development.

Required Skills and Qualifications

• Bachelor's or master's degree in a relevant field.
• 2-5 years of experience in data science or a related field, with a demonstrable interest and some practical experience in GenAI.
• Understanding of GenAI models and architectures.
• Good Python programming skills and familiarity with relevant libraries.
• Experience with prompt engineering and optimizing LLM outputs.
• Strong analytical and problem-solving skills.
• Familiarity with deep learning frameworks is a plus.
• Understanding of NLP and text processing techniques is desirable.
• Experience with cloud computing platforms is a plus.
• Excellent communication and collaboration skills.

Preferred Qualifications

• Experience with financial data and applications.
• Familiarity with chatbot development frameworks.
• Experience with vector databases.
• Contributions to open-source projects related to AI/ML or GenAI.

Technology Stack

• Programming Languages: Python (good proficiency required)
• Python Packages: Relevant data science and GenAI packages (e.g., Pandas, NumPy, Scikit-learn, Transformers, LangChain).
• Deep Learning Frameworks: TensorFlow, PyTorch (familiarity is a plus)
• LLMs: Exposure to Llama, Gemini, GPT-4, or other LLMs.
• Vector Databases: PostgreSQL with vector extensions, other vector databases are a plus.
• Cloud Platforms: AWS, Azure, GCP (experience is a plus).
• Version Control: Git

------------------------------------------------------

Job Family Group:

------------------------------------------------------

Job Family:

------------------------------------------------------

Time Type:

------------------------------------------------------

Most Relevant Skills

------------------------------------------------------

Other Relevant Skills

------------------------------------------------------

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.