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Citi · 1 day ago

Senior Gen AI Developer - Vice President

Irving Texas United States

Full-time

Hybrid

Mid, Senior Level

$126K/yr - $189K/yr

5+ years exp

Citi is seeking an experienced Senior Generative AI Developer to help drive the design, development, and integration of state-of-the-art Generative AI solutions across their enterprise Controls Technology platform. The role involves collaborating with cross-functional teams and contributing deep technical expertise to deliver scalable AI solutions that enhance automation and operational efficiency.

BankingFinanceFinancial Services

H1B Sponsor Likely

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

Qualification

Generative AILarge Language ModelsMachine Learning FrameworksPythonPostgreSQLPrompt EngineeringContainerizationAI ComplianceAnalytical SkillsCollaboration SkillsCommunication SkillsMentoring

Required

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

Benefits

Medical, dental & vision coverage

401(k)

Life, accident, and disability insurance

Wellness programs

Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Company

Citi

Glassdoor3.8

Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress.

Founded in 1812

San Antonio, Texas, USA

10001+ employees

https://www.citi.com

H1B Sponsorship

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2023 (1375)

2022 (1117)

2021 (876)

2020 (901)