Generative AI Developer (8–12 Years Experience)
Location: [Location]
Department: Controls Technology
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:
- Proficiency in Python for AI development, data preprocessing, and scripting.
- Hands-on experience with at least one major machine learning framework (PyTorch, TensorFlow, 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).
- Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) 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.
- 8–12 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.
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Job Family Group: Technology------------------------------------------------------
Job Family:Systems & Engineering------------------------------------------------------
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.
Skills Required
- 8-12 years of professional experience in AI/ML development
- Bachelor's degree or Master's degree in Computer Science, Data Science, AI, or a related field
- Proficiency in Python for AI development
- Hands-on experience with machine learning frameworks like PyTorch, TensorFlow, Keras
- Understanding of model deployment and containerization (Docker)
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.
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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.
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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.
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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
What We Do
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