Senior Gen AI Developer - Vice President

Citi • Irving, TX

1d

About The Position

We are seeking an experienced Senior Generative AI Developer to help drive the design, development, and integration of state-of-the-art Generative AI solutions across our enterprise Controls Technology platform. You will collaborate with cross-functional teams, contribute deep technical expertise, and play a key role in delivering scalable AI solutions to enhance automation and operational efficiency.

Requirements

• Strong hands-on experience with LLMs and fine-tuning methods such as LoRA, QLoRA, Adapter/Prefix Tuning, and instruction tuning.
• Practical knowledge of model optimization (compression, quantization) and familiarity with tools such as DeepSpeed, vLLM, GPTQ, or similar.
• Proficient in prompt engineering and familiarity with prompt design tools/frameworks.
• Experience building RAG systems, including hybrid search and multi-vector retrieval.
• Proficient with machine learning frameworks (PyTorch, TensorFlow, Keras) and distributed training.
• Strong skills in NLP (NER, Dependency Parsing, Text Classification, Topic Modeling), transfer learning, and advanced learning paradigms.
• Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML models.
• Familiarity with generative AI tools like LangChain, LlamaIndex, Langgraph, Crew.ai, autogen, Hugging Face, and major GenAI APIs (OpenAI, Gemini, Claude, etc.), with an emphasis on frameworks supporting agentic AI development.
• Solid understanding of AI compliance, guardrails, and responsible AI practices.
• Strong skills in Python and experience with data preprocessing, feature engineering, and API development.
• Proficiency in database management, including strong SQL skills and hands-on experience with PostgreSQL for data storage, retrieval, and optimization in AI applications.
• Experience in designing and implementing multi-agent systems, including understanding of agent architectures, communication protocols, and goal-oriented AI.
• Familiarity with frameworks and techniques for orchestrating autonomous agents and managing their interactions.
• Strong collaboration skills to work effectively in cross-functional teams.
• Analytical and proactive approach to problem-solving.
• Clear communication skills for both technical and non-technical audiences.
• Eagerness to learn, innovate, and mentor less experienced developers.
• 5 plus years of experience in AI/ML, including significant experience in Generative AI.
• Demonstrated portfolio of successful AI-driven projects in a business environment.
• Experience working with AWS (or equivalent) cloud infrastructure for AI/ML.
• Bachelor’s or master’s degree in Computer Science, Data Science, AI, or equivalent experience

Responsibilities

• Collaborate with AI architects, leads, and stakeholders to design and implement advanced generative AI and agentic AI solutions that address complex business challenges.
• Develop, fine-tune, and optimize large language models (LLMs), leveraging parameter-efficient techniques and full fine-tuning where applicable, ensuring efficient data management and retrieval, potentially involving Postgres for structured data.
• Implement and experiment with cutting-edge generative AI methods, including prompt engineering, Retrieval-Augmented Generation (RAG), and the orchestration of agentic AI systems.
• Support the integration of AI models and agentic workflows into production environments, ensuring robust deployment, scalability, maintainability, and efficient data handling within systems potentially leveraging Postgres.
• Contribute to the development and optimization of real-time and streaming AI solutions, including those powered by agentic AI.
• Stay current with the latest advances in generative AI, agentic AI, and related technologies (including database technologies like Postgres), actively sharing knowledge and fostering innovation within the team.
• Ensure adherence to ethical AI guidelines, data privacy, and compliance standards across all generative and agentic AI implementations.
• Mentor junior team members, provide thorough code reviews, and cultivate a culture of technical excellence and continuous learning.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees