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AI Engineer

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Hybrid

AI Engineer

Bridge

AI Engineer

Skills

Google Cloud PlatformDockerAIAWSKubernetesAzure

4 months ago

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Important information


Contract type:

Permanent

Location:

New York, NY, USA

Work mode:

Hybrid

Published on:

8 August 2026

What they need


Job Title: AI Engineer

Location: New York City, NY (HQ)

Position Type: Full-time

Experience Level: 2+Years

About Bridge

At Bridge, we're redefining how businesses access capital in two of the most dynamic corners of the U.S. economy: hospitality and working capital. Our platform connects business owners with a network of over 100 commercial lenders, creating a competitive, transparent process to secure the right financing.

Whether it's a hotel developer seeking construction capital or a fast-growing consumer brand that needs inventory financing, Bridge puts borrowers in control of the process and gives lenders the tools to find and underwrite deals faster. We pair modern technology and deep lender relationships with a team of in-house capital experts, and we're building the next generation of AI-powered tools to make commercial lending genuinely efficient.

About the role

As an AI Engineer, you will build and ship AI capabilities, models, APIs, tools, and integrations that power Bridge's platform. You'll work closely with product, engineering, and our in-house capital teams to make AI genuinely useful for the people doing the work: underwriters sizing a hotel construction loan, servicing managers running draws, and capital markets teams placing deals across our network of 100+ lenders. You'll do it with a high bar for quality, transparency, and sound judgment, because real money and real businesses are on the other end.

You'll measure success by what gets adopted and what it changes: faster closings, cleaner servicing, better decisions. This role is based in New York City.

Key Responsibilities

  • Design, build, and optimize integrations between frontier AI models and Bridge's lending systems, data, and workflows
  • Build the SDKs, APIs, internal tools, and documentation that let the rest of engineering ship AI-powered features quickly
  • Partner with underwriting, servicing, and capital markets stakeholders to understand their needs, prototype solutions, and iterate fast on real feedback
  • Ship production-grade code and features with a bias toward speed, simplicity, and measurable impact on closings, servicing, and decisions

Qualifications & Skills

  1. Bachelor's degree in computer science or another STEM field, OR 2+ years of professional software development experience in lieu of a degree
  2. Experience working with large language models, generative AI, or agentic systems, whether in research, production, or applied engineering
  3. Familiarity with fintech, lending, or other regulated environments (finance, real estate, insurance) is a plus
  4. Strong product sense: the ability to turn ambiguous stakeholder needs into concrete technical solutions
  5. A track record of writing clean, maintainable, high-performance code under real deadlines
  6. Sharp problem-solving instincts and genuine curiosity; you like hard, ambiguous challenges
  7. Clear communication; you can explain complex technical ideas to non-technical partners without losing them
  8. Exposure to AI safety, evals, red-teaming, or responsible AI deployment
  9. Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker/Kubernetes), or API orchestration
  10. Contributions to open-source AI projects or developer tools

What We Offer

  • Highly competitive base salary with an aggressive, performance-driven bonus structure.
  • Company stock option plan, own a piece of the technology platform you are helping to build.
  • 401(k) with company contribution.
  • Comprehensive health, dental, and vision benefits.
  • Robust parental leave.
  • A collaborative, high-trust team environment featuring on-site team lunches, corporate events, and off-site meet ups.

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