Senior AI Engineer, Tools & Agents

Twelve Labs Inc.

Job Overview

Location

San Francisco

Job Type

Full-time

Full Job Description

📋 Description

• Design and own developer- and agent-facing surfaces: public and partner APIs, and agent integration interfaces such as MCP and agent-to-agent protocols.
• Build the authentication and authorization substrate: how users and machines authenticate, and how access is enforced (RBAC, organization and team scoping).
• Ship enterprise-readiness capabilities: organization support, per-API-key usage tracking and metering, and rate limiting designed around real system constraints rather than arbitrary defaults.
• Keep the platform reliable and scalable: define and uphold SLOs, harden failure paths, and keep services healthy under real-world and multi-tenant load.
• Move fast without compromising quality, shipping to customers on a tight loop while holding a high craftsmanship bar.
• Collaborate closely with engineering and research partners to turn cutting-edge capabilities into durable product surfaces.
• Strong backend engineering depth (typically 6+ years) building and operating production services and APIs at scale.
• A track record of owning developer-facing or platform surfaces such as public APIs, SDKs, or integration layers, with real care for API design and contracts.
• Hands-on experience with authentication and authorization in production: OAuth/OIDC, RBAC, multi-tenant isolation.
• Experience building enterprise/SaaS platform concerns: organization and team models, usage metering, rate limiting, quotas.
• Demonstrable, hands-on experience with agentic systems, in production or through substantial personal projects, with a strong grasp of agent tool design, MCP and function-calling, and the failure modes of LLM-driven applications.
• The judgment to ship fast and the craftsmanship to do it well, with the maturity to know which one a given problem calls for.
• 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.

🎯 Requirements

• Strong backend engineering depth (typically 6+ years) building and operating production services and APIs at scale.
• A track record of owning developer-facing or platform surfaces such as public APIs, SDKs, or integration layers, with real care for API design and contracts.
• Hands-on experience with authentication and authorization in production: OAuth/OIDC, RBAC, multi-tenant isolation.
• Experience building enterprise/SaaS platform concerns: organization and team models, usage metering, rate limiting, quotas.

🏖️ Benefits

• An open and inclusive culture and work environment.
• Work closely with a collaborative, mission-driven team on cutting-edge AI technology.
• Full health, dental, and vision benefits
• Extremely flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.
• VISA support where applicable

Skills & Technologies

OAuth

Data Science

Senior

Hybrid

Ready to Apply?

Apply Externally

You will be redirected to an external site to apply.

AI Job Fit Analysis

Pro

See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.

Twelve Labs Inc.

Visit Website

About Twelve Labs Inc.

Twelve Labs builds multimodal video understanding AI. Its cloud platform transforms long-form video into vector embeddings that capture visual, audio, speech and contextual information, enabling semantic search, summarization, chaptering, moderation and analytics through a single API. Developers upload video, index it, then query in natural language or image to retrieve exact moments, generate highlights or detect unwanted content. Models are pretrained on large-scale web video, continually fine-tuned for accuracy and latency, and deployable on dedicated GPU clusters for enterprise security. Founded in 2021, the San Francisco company serves media, ed-tech, safety and e-commerce customers worldwide.

View Company Profile

Get more remote jobs like this

Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.

Weekly remote jobs and featured talent.

No spam. Only curated remote roles and product updates. You can unsubscribe anytime.