
Global investment banking and financial services
Gen AI Engineer - Assistant Vice President
Required skills
Python
AWS
Docker
Git
PyTorch
TensorFlow
GCP
Azure
Machine Learning
Job Overview:
We are looking for a skilled Generative AI Developer to join our Controls Technology team and contribute to the development and integration of innovative generative AI solutions. In this role, you’ll work closely with senior developers, AI architects, and business stakeholders to deliver impactful AI-driven features and products.
Key Responsibilities:
- Implement and fine-tune generative AI models under the guidance of senior team members.
- Contribute to prompt engineering and development of AI-powered workflows.
- Assist with the deployment, monitoring, and maintenance of AI models in production environments.
- Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities.
- Perform data preprocessing, feature engineering, and API development for AI applications.
- Participate in code reviews, testing, and documentation to ensure quality and reliability.
- Stay updated with advancements in GenAI and share relevant learnings with the team.
Required Technical Skills:
- Hands-on experience with at least one major machine learning framework (Py Torch, Tensor Flow, Keras).
- Familiarity with LLMs, prompt engineering, and fine-tuning(e.g.,LoRA, QLoRA).
- Exposure to RAG systems and basic knowledge of hybrid search techniques.
- Understanding of model deployment and containerization (Docker).
- Proficiency in Python for AI development, data preprocessing, and scripting.
- Experience with generative AI tools (Lang Chain, Hugging Face, Llama Index) is a plus.
- Understanding of version control systems (Git).
- Awareness of AI compliance, data privacy, and responsible AI principles.
Required Soft Skills:
- Strong teamwork and communication abilities.
- Willingness to learn new AI/ML technologies and frameworks.
- Analytical mindset and attention to detail.
- Openness to feedback and continuous improvement.
Qualifications:
- Bachelor’s degree or Master’s degree in Computer Science, Data Science, AI, or a related field.
- 8+ years of professional experience in AI/ML development, with exposure to Generative AI.
- Experience delivering AI/ML projects in a collaborative setting.
- Exposure to cloud-based AI/ML environments (AWS, GCP, or Azure) is a plus.
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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.
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About Citigroup

Citigroup
PublicCitigroup Inc. or Citi is an American multinational investment bank and financial services company based in New York City. The company was formed in 1998 by the merger of Citicorp, the bank holding company for Citibank, and Travelers; Travelers was spun off from the company in 2002.
10,001+
Employees
New York City
Headquarters
$86B
Valuation
Reviews
10 reviews
3.7
10 reviews
Work-life balance
3.8
Compensation
2.5
Culture
4.0
Career
3.2
Management
3.5
65%
Recommend to a friend
Pros
Good work-life balance
Supportive management and colleagues
Good benefits
Cons
Low or uncompetitive salary/pay
Long hours during peak times
Poor management and lack of direction
Salary Ranges
48 data points
Mid/L4
Senior/L5
Mid/L4 · BUSINESS ANALYTICS SENIOR ANALYST
3 reports
$117,000
total per year
Base
$120,800
Stock
-
Bonus
-
$117,000
$117,000
Interview experience
3 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 33%
Negative 67%
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Panel/Group Interview
5
Final Round
6
Offer
Common questions
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
Culture Fit
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