AI Engineer – Startups & Partnerships

Citi•Jersey City, NJ
•$142,320 - $213,480

About The Position

The AI Engineer will join Citi’s Startups & Partnerships team, which identifies, evaluates, and onboards emerging AI technologies for the Head of AI Organization. The role builds, tests, and ships AI applications addressing business problems across Citi, with direct exposure to business requirements and emerging models and platforms from AI labs and startups. The engineer will develop production-grade AI tools, pipelines, and workflows; evaluate new AI models and platforms through proof-of-concepts and sandbox assessments; and rapidly prototype solutions in response to stakeholder feedback. The position also connects LLMs and agentic systems to enterprise APIs, data pipelines, and lightweight user-facing or internal tools. In collaboration with governance, risk, and platform teams, the engineer helps move validated proofs of concept toward scaled deployment and communicates results to business and technology stakeholders. This is a full-stack engineering role focused on applied AI and production applications, rather than data science or machine-learning research. The position is based in Jersey City, New Jersey. The listed full-time salary range is $142,320 to $213,480. Eligible employees may also receive incentive and retention awards and benefits, with offerings varying by jurisdiction, job level, and hire date.

Requirements

  • Experience building and shipping AI applications, pipelines, and workflows in live production environments.
  • Hands-on proficiency with LLMs, prompt engineering, and agentic frameworks or orchestration tools such as LangChain, LlamaIndex, or AutoGen, or similar.
  • Strong software engineering fundamentals and ability to work across backend services, API integrations, and lightweight front-end or internal tooling.
  • Strong communication and stakeholder management skills, including the ability to work directly with business leaders and clients.
  • Ability to learn and adopt new tools and platforms quickly as the AI landscape evolves.
  • Comfort working in a large, regulated, global institution while maintaining a startup-speed approach.
  • Bachelor’s degree or university degree, or equivalent experience.

Nice To Haves

  • 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, including Docker and 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.
  • Master’s degree preferred.

Responsibilities

  • Architect, develop, and deploy production-grade AI-powered tools, pipelines, and workflows that address business problems across Citi’s lines of business.
  • Run structured proofs of concept and sandbox evaluations to assess emerging models, platforms, and startup tools, including LLMs, agentic frameworks, and orchestration layers.
  • Rapidly turn business ideas into working demonstrations and iterate based on stakeholder feedback.
  • Integrate LLMs and agentic systems with enterprise APIs, data pipelines, and lightweight front-end or internal tooling.
  • Work with governance, risk, and platform teams to move validated solutions from prototype toward scaled deployment.
  • Explain technical work and its impact to senior business and technology stakeholders.

Benefits

  • Medical, dental, and vision coverage.
  • 401(k).
  • Life, accident, and disability insurance.
  • Wellness programs.
  • Paid time off, including vacation, sick leave, and paid holidays.
  • Eligible employees may receive discretionary and formulaic incentive and retention awards.
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