27 days ago
Base Salary
$177k - $265k/yr
Responsibilities
- Architect and implement end-to-end Generative AI pipelines, including LLM integrations, RAG systems, autonomous agents, and prompt-engineering frameworks.
- Develop scalable, production-ready Python services and APIs for AI-driven features.
- Evaluate, integrate, and fine-tune LLMs and embedding models for financial use cases.
- Build and maintain ML/GenAI deployment pipelines with reliability, observability, governance, and MLOps practices.
- Design multi-agent orchestration frameworks for complex operational workflows.
- Design and optimize data pipelines supporting AI systems, embedding workflows, vector search, and enterprise data platforms.
- Partner with AI Risk and Compliance teams on regulatory, responsible AI, and data privacy requirements.
- Mentor junior developers, lead code reviews, and contribute to GenAI standards and best practices.
- Translate operational stakeholder requirements into technical AI solutions and communicate trade-offs and timelines.
Requirements
- 10+ years of professional software engineering experience, including at least 2 years focused on Generative AI or LLM application development.
- Expert-level Python proficiency, including asynchronous programming, API development, and software design patterns.
- Hands-on experience with LangChain, LangGraph, LlamaIndex, Google Cloud AI Platform, RAG architectures, embedding pipelines, and vector search.
- Experience integrating LLM APIs and services such as OpenAI, Azure OpenAI, Anthropic, AWS Bedrock, or Google Vertex AI.
- Understanding of prompt engineering, few-shot learning, chain-of-thought techniques, model evaluation, fine-tuning, and inference optimization.
- Hands-on experience with AWS, Azure, or GCP and managed AI/ML services.
- Proficiency with SQL, NoSQL databases, and vector databases.
- Experience with containerization, version control, CI/CD pipelines, and automated testing.
- Bachelor's degree or university degree, or equivalent experience; a master's degree in computer science, AI/ML, or a related discipline is preferred.
- Preferred experience includes banking, fintech, or regulated industries; multi-agent frameworks; MLflow or Weights & Biases; responsible AI; Kafka, Spark, or Airflow; and Agile/SAFe delivery.
Benefits
- Full-time position based in New York, New York.
- Salary range is $176,720.00-$265,080.00, excluding potential incentive and retention awards.
- Medical, dental, and vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.
- Paid vacation, sick leave, and holidays.
Tech Stack
Apache AirflowApache KafkaApache SparkAWSAzureDockerFastAPIFlaskGitGitHub ActionsGoogle Cloud PlatformKubernetesMLflowMongoDBPostgreSQLPythonRedisSQL
Categories
About Citi
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have over 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities. For information on Citi’s commitment to privacy, visit on.citi/privacy.