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Gen AI Developer – Assistant Vice President
CitiGenerative AI Developer collaborating with senior developers and stakeholders on innovative AI solutions. Implementing and fine-tuning models while assisting with deployment and integration in production environments.
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
generative AImachine learningprompt engineeringdata preprocessingfeature engineeringAPI developmentPythonmodel deploymentcontainerizationversion control
Soft Skills
teamworkcommunicationanalytical mindsetattention to detailopenness to feedbackcontinuous improvementwillingness to learn
Tools & Technologies
PyTorchTensorFlowKerasDockerLangChainHugging FaceLlamaIndexGit
Certifications & Qualifications
Bachelor's degreeMaster's degree
Industry Keywords
AIMLGenerative AIRAG systemshybrid searchAI compliancedata privacyresponsible AI
Tech Stack
Tools & technologiesDockerKerasPythonPyTorchTensorflow
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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
- 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)
- Proficiency in Python for AI development, data preprocessing, and scripting
- 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.
- 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.
Benefits
Comp & perks- Citi is an equal opportunity employer
- Flexible working hours
- Professional development opportunities