AI Engineer – Startups & Partnerships
Job Description
Join Citi’s Startups & Partnerships team to architect, build, test, and ship production AI applications that address real business needs across the organization.
Responsibilities
- Architect, develop, and deploy production-grade AI-powered tools, pipelines, and workflows to solve business problems across Citi lines of business
- Run structured proof-of-concepts and sandbox model “bake-offs” to evaluate emerging technologies for real-world fit, including LLMs, agentic frameworks, and orchestration layers
- Convert business ideas into working demos in days, then iterate quickly based on stakeholder feedback
- Connect LLMs and agentic systems to enterprise APIs, data pipelines, and lightweight front-end or internal tooling to deliver end-to-end solutions
- Partner with governance, risk, and platform teams to move validated prototypes toward scaled deployment
- Communicate technical progress through clear narratives for senior business and technology stakeholders
Requirements
- Full-stack engineer with applied AI/LLM experience (explicitly not a data science or ML research role)
- Proven experience building and shipping AI applications, pipelines, and workflows in live, production environments
- Hands-on proficiency with Large Language Models, prompt engineering, and agentic frameworks/orchestration tools (e.g., LangChain, LlamaIndex, AutoGen, or similar)
- Strong software engineering fundamentals across the stack, including backend services and API integrations plus lightweight front-end or internal tooling layers
- Strong communication and stakeholder management skills, working directly with business leaders and clients
- Ability to learn and adopt new tools and platforms quickly as the AI landscape evolves
- Comfort operating within a large, regulated, global institution while maintaining a startup-speed delivery mindset
Technologies
- Large Language Models (LLMs)
- Prompt engineering
- Agentic frameworks and orchestration tools
- LangChain, LlamaIndex, AutoGen
- Enterprise APIs
- Data pipelines
Benefits
- Medical, dental & vision coverage
- 401(k)
- Life, accident, and disability insurance
- Wellness programs
- Planned time off (vacation)
- Unplanned time off (sick leave)
- Paid holidays
- Discretionary and formulaic incentive and retention awards (for eligible employees)
Nice-to-Have Skills
- Experience working directly with startups, venture teams, or technology scouting functions
- Familiarity with vector databases, retrieval-augmented generation (RAG), or knowledge graph-based retrieval
- Experience with containerization and cloud-native deployment (Docker, Kubernetes) for AI services
- Prior exposure to financial services, banking, or other highly regulated industries
- Experience presenting technical concepts to non-technical, senior business audiences
Education
- Bachelor’s degree/University degree or equivalent experience
- Master’s degree preferred
Location: Jersey City, NJ (onsite)
Salary: USD 142,320 - 213,480 per year
Job Family: Technology
Job Family Group: Technology
Job Family: Infrastructure
Time Type: Full time
Anticipated Posting Close Date: Oct 20, 2026
Primary Location Full Time Salary Range: $142,320.00 - $213,480.00
Primary Location: Jersey City New Jersey United States