Senior Generative AI Developer

## Senior Generative AI Developer Apply remote type:
Hybrid locations:
New York New York United Statestime type:
Full time posted on:
Posted Yesterday job requisition :

** About the Role
** We are looking for a
** Senior Generative AI Developer
** to join our COO Technology Division in New York. In this high-impact role, you will architect, develop, and operationalize cutting-edge Generative AI and Large Language Model (LLM) solutions that directly transform how Citi's operational teams work. You will collaborate with cross-functional stakeholders - including operations leads, data engineers, product managers, and enterprise architects to deliver enterprise-grade AI capabilities s is a hands-on engineering role for a builder who thrives at the intersection of applied AI research and production software engineering.
** Key Responsibilities**
* ** Design & Build GenAI Solutions:
** Architect and implement end-to-end Generative AI pipelines including LLM integrations, Retrieval-Augmented Generation (RAG) systems, autonomous AI agents, and prompt engineering frameworks.
* ** Python Development:
** Develop robust, scalable, and production-ready Python services and APIs that power AI-driven features across COO platforms.
* ** Model Integration & Fine-tuning:
** Evaluate, integrate, and fine-tune LLMs (e.g., GPT-5, Claude, Mistral) and embedding models for domain-specific financial use cases.
* ** MLOps & Deployment:
** Build and maintain ML/GenAI deployment pipelines using modern MLOps practices, ensuring reliability, observability, and governance.
* ** Agentic Workflows:
** Design and implement multi-agent orchestration frameworks (e.g., Lang Graph, Google ADK) for complex, multi-step operational workflows.
* ** Enterprise AI Governance:
** Collaborate with Citi's AI Risk and Compliance teams to ensure all AI solutions align with regulatory requirements, responsible AI frameworks, and data privacy standards.
* ** Data Engineering:
** Design and optimize data pipelines feeding AI systems, working with vector databases (e.g., Pinecone, Weaviate, pgvector) and enterprise data platforms.
* ** Technical Leadership:
** Mentor junior developers, lead code reviews, and contribute to GenAI standards and best practices across the COO Technology organization.
* ** Stakeholder

Collaboration:

** Translate complex business requirements from COO operations stakeholders into technical AI solutions, providing clear communication of trade-offs and timelines.
** Required Qualifications**
* *
* Experience:

** 6+ years of professional software engineering experience, with at least
** 2+ years focused on Generative AI / LLM application development**.
* ** Python:
** Expert-level Python proficiency — including async programming, API development (FastAPI, Flask), and software design patterns.
* ** GenAI & LLM Stack:**  + Deep hands-on experience with LLM frameworks:
** Lang Chain, Lang Graph, Llama Index etc**  + Hands on experience with
** Google Cloud AI Platform**  + Proven experience with
** RAG architectures**, embedding pipelines, and vector search  + Strong understanding of
** prompt engineering, few-shot learning, and chain-of-thought
** techniques  + Experience integrating with LLM APIs:
** OpenAI, Azure OpenAI, Anthropic, AWS Bedrock, or Google Vertex AI**
* ** Machine Learning:
** Solid grounding in ML fundamentals; familiarity with model evaluation, fine-tuning (LoRA, PEFT), and inference optimization.
* ** Cloud Platforms:
** Hands-on experience with at least one major cloud provider —
** AWS, Azure, or GCP** — particularly managed AI/ML services.
* ** Data & Databases:
** Proficiency with SQL, No

SQL, and
** vector databases** (Pinecone, Weaviate, Chroma, pgvector).
* ** Software Engineering Practices:
** Strong understanding of CI/CD…