Twelve Labs
Senior AI Engineer, Tools & Agents
San Francisco · Senior
Sponsorship not specifiedDetected 13 days ago
SnowflakeDatabricksAPI DevelopmentOAuthLLMsAgentic AIResearch
About the role
- You'll shape the APIs, the agent-facing interfaces, and the authentication, authorization, and multi-tenancy that make them production-grade and enterprise-ready.
- This role is hybrid, based in our San Francisco office.
- This role may require participation in on-site interviews and/or completion of in-person onboarding processes.
Responsibilities
- TwelveLabs builds the intelligence layer to change that.
- We have raised more than $210 million from NEA, Radical Ventures, Amazon, NVIDIA, Snowflake, Databricks, Index Ventures, NAVER Ventures, Korea Investment Partners, Quadrille Capital, Red Bull Ventures, and AI pioneers including Fei-Fei Li, Silvio Savarese, and Alexandr Wang.
- Building technology that understands the world in all its complexity requires people who see it from every angle.
- Come build it with us!
- public and partner APIs, and agent integration interfaces such as MCP and agent-to-agent protocols.
- organization support, per-API-key usage tracking and metering, and rate limiting designed around real system constraints rather than arbitrary defaults.
- 🛂 VISA support where applicable
Requirements
- Hands-on experience with authentication and authorization in production: OAuth/OIDC, RBAC, multi-tenant isolation.
Nice to have
- Shipped an agent or LLM-powered product that real users or developers depend on, and can speak to what broke at scale and how you fixed it.
- Have taken a product from early access to enterprise-grade: the auth, multi-tenancy, and reliability work that turns a capability into something a large customer will trust.
- Contributed to the agent tooling ecosystem (for example, open-source MCP servers or agent frameworks) or have a body of personal work that shows real fluency.
- 🤝 An open and inclusive culture and work environment.
- 🚀 Work closely with a collaborative, mission-driven team on cutting-edge AI technology.
- Office closed the week of Christmas and New Years.
Compensation
- Candidates must be able to travel up to 10% of the time annually to attend conferences, off-site meetings, and other business-related events as required by the role.
Benefits
- 🏥 Full health, dental, and vision benefits
- ✈️ Extremely flexible PTO and parental leave policy.
- We believe the differences in our cultural, educational, and life experiences make our products stronger.
Company info
- Video is 90% of the world's data. Most of it is invisible to machines.
- TwelveLabs builds the intelligence layer to change that. Our multimodal AI models understand video the way humans do - across sight, sound, and motion - and power production-scale AI workloads across media, entertainment, sports, security, and government.
- We are a global company, headquartered in San Francisco with offices in Seoul, New York, and London, and employees around the world. We believe the differences in our cultural, educational, and life experiences make our products stronger. Building technology that understands the world in all its complexity requires people who see it from every angle. We are looking for individuals who are driven by hard problems and want their work to matter. Come build it with us!
- Video is 90% of the world's data.
- Most of it is invisible to machines.
- Our multimodal AI models understand video the way humans do - across sight, sound, and motion - and power production-scale AI workloads across media, entertainment, sports, security, and government.
- We are a global company, headquartered in San Francisco with offices in Seoul, New York, and London, and employees around the world.
- We are looking for individuals who are driven by hard problems and want their work to matter.
- Move fast without compromising quality, shipping to customers on a tight loop while holding a high craftsmanship bar.
Visa & Work Authorization
- 🛂 VISA support where applicable
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This listing is sourced directly from Twelve Labs's careers page and normalized into a canonical job model.