AI Engineer

About Teambridge:

More than 60% of workers in the US (and 70% of workers in the world) are paid hourly, and the businesses that employ them each have their own unique processes and workflows when it comes to managing their workforce. Unfortunately, the workforce management tools that have historically been available to them are some combination of rigid, outdated, or not built for an on-the-go workforce.

Teambridge is the world’s first flexible workforce management platform–it’s fully composable and built mobile-first, making it easy for companies to mold Teambridge to the unique shape of their business. Teambridge is powered by modular, no-code blocks that can be combined to automate any task or process that comes with managing a large workforce, such as hiring and onboarding, or time tracking and scheduling.

With a $28M Series B raised in 2024, Teambridge is funded by General Catalyst, Mayfield and industry leading angel investors as we build flexible, efficient, and intuitive solutions for complex workforce challenges. Based in San Francisco, Teambridge is committed to redefining the industries we partner with.

👤 About the candidate:

We’re looking for an exceptional AI Engineer to join our team and help build the next generation of AI-powered systems. You’ll work across product and research boundaries to prototype, deploy, and scale cutting-edge AI capabilities. Ideal candidates are passionate about applying novel techniques to real-world problems, comfortable in fast-paced startup environments, and skilled at building high-impact systems from 0 to 1.

🚀 Responsibilities:

• Identify, prototype, and productionize impactful AI products that supercharge our core platform using state-of-the-art techniques.

• Collaborate closely with engineering, product, and customer success to understand customer needs and turn them into scalable AI solutions.

• Design and implement systems with multimodal, LLM, and tool-calling capabilities.

• Stay current on research at all levels of the stack and bring innovative ideas into production.

• Promote better practices and share technical knowledge across the team.

• Help grow TeamBridge through deliberate feedback on product, process, and culture.

🧠 Qualifications:

• Bachelor's or Master’s degree in Computer Science, AI/ML, or related technical field.

• Experience in building AI products at a startup or on an Applied AI team at scale.

• 2+ years of experience in software engineering in a production setting.

• Experience with or deep interest in:

  • LLMs (large language models)

  • Multimodal AI

  • Prompt engineering

  • Reinforcement Learning, reasoning, and search with AI

• Strong cross-functional collaboration and communication skills.