AI Engineer

Bridge; New York (NY); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Highly competitive base salary

Performance-driven bonus structure

401(k) with company contribution

Robust parental leave

Collaborative team environment

Job summary

Bridge in New York City is seeking an AI Engineer to develop AI capabilities for our lending platform. You will collaborate closely with product and engineering teams to optimize AI models, ensuring they meet stakeholder needs effectively.

The ideal candidate holds a computer science degree or has equivalent software development experience. This role offers a competitive salary and performance-driven bonuses.

Qualifications

• Bachelor's degree in computer science or related STEM field, or 2+ years of software development experience.
• Experience with large language models, generative AI, or agentic systems.
• Strong problem-solving instincts and clear communication skills.

Responsibilities

• Design, build, and optimize integrations between AI models and lending systems.
• Build SDKs, APIs, and documentation for AI features.
• Partner with stakeholders to understand needs and iterate on solutions.

Skills

Working with large language models

Generative AI

Cloud platforms (AWS, GCP, Azure)

Containerization (Docker/Kubernetes)

API orchestration

Education

Bachelor's degree in computer science or related STEM field

Tools

SDKs

APIs

Job description

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

• Bachelor's degree in computer science or another STEM field, OR 2+ years of professional software development experience in lieu of a degree
• Experience working with large language models, generative AI, or agentic systems, whether in research, production, or applied engineering
• Familiarity with fintech, lending, or other regulated environments (finance, real estate, insurance) is a plus
• Strong product sense: the ability to turn ambiguous stakeholder needs into concrete technical solutions
• A track record of writing clean, maintainable, high-performance code under real deadlines
• Sharp problem-solving instincts and genuine curiosity; you like hard, ambiguous challenges
• Clear communication; you can explain complex technical ideas to non-technical partners without losing them
• Exposure to AI safety, evals, red-teaming, or responsible AI deployment
• Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker/Kubernetes), or API orchestration
• 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.
• Robust parental leave.
• A collaborative, high-trust team environment featuring on-site team lunches, corporate events, and off-site meet ups.