[Hiring] Full-Stack Platform Engineer @OpenTeams

Role Description

We're looking for a Full-Stack Platform Engineer to build both sides of an AI platform — the API surface other teams build on, and the interfaces analysts use directly.

• The API comes first here, and that's a real constraint rather than a slogan: platform capabilities are consumed through documented interfaces by analysts, internal teams, and partner organizations using their own tools.
• On the backend, you build API-first services for workflow orchestration, data ingestion, evaluation execution, and results management.
• You implement identity federation and access controls that hold up across deployment environments.
• On the frontend, you build the analyst-facing tooling — modern web consoles and utilities where someone actually kicks off a workflow, inspects a result, or figures out why a run failed.
• You should be comfortable in a component-based web stack, though the emphasis is on clear, functional interfaces over visual polish.
• Doing both sides means you feel your own API design decisions from the consuming side, which is the fastest way to find the ones that were wrong.
• You also produce what external teams need to build on the platform: documentation, reference implementations, and client examples that work when someone follows them.

Qualifications

• U.S. citizenship and eligibility to obtain and maintain a U.S. security clearance
• 5+ years of full-stack or backend engineering experience, with an emphasis on API-first services
• Proficiency in Python, TypeScript, Go, or a comparable programming language
• Experience designing, documenting, versioning, and maintaining REST or GraphQL APIs used by external teams or integrators
• Working proficiency with a modern component-based frontend framework such as React, Vue, or Svelte
• Hands-on experience implementing authentication and authorization using OpenID Connect, SAML, PKI/X.509 certificates, or comparable identity protocols
• Experience developing containerized applications and services
• Experience with Git-based development workflows, automated testing, and continuous integration
• Demonstrated ability to write developer-facing API documentation, integration guides, and reference implementations
• Experience with relational databases and API-level data modeling
• Strong written communication skills and the ability to support technical users integrating with platform services
• Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience

Requirements

• Design, implement, document, and maintain APIs for workflow orchestration, data ingestion, evaluation execution, and results management
• Define clear, stable, and versioned interface specifications for use by external integrators
• Implement brokered single sign-on and identity federation using protocols such as OpenID Connect, SAML, and PKI/X.509 certificate-based authentication
• Enforce approved authentication, authorization, and access-control requirements across platform services
• Design relational data models that support platform APIs and workflow requirements
• Build the analyst-facing web interfaces for the platform — consoles for launching workflows, inspecting results, and diagnosing failed runs
• Develop UI for AI-specific interaction patterns: streaming model output, long-running and multi-step agentic runs, prompt and configuration management, and side-by-side comparison of model or workflow results
• Ensure analyst-facing interfaces are built strictly on the same public APIs external integrators use
• Produce and maintain API documentation, integration guides, SDK examples, reference implementations, and example workflows
• Develop notebooks and other enablement resources for data science and analyst audiences
• Support partner organizations and Government teams integrating with published platform interfaces
• Write automated tests and maintain CI pipelines across backend and frontend code
• Ensure application dependencies are compatible with target deployment environments
• Collaborate with platform, security, infrastructure, and ML engineers to deliver reliable, secure, and interoperable platform services

Benefits

• 100% employer paid medical premiums for employees
• Self-managed PTO with a minimum time off requirement
• Opportunities for growth and recognition of increased impact
• Collaboration with global experts and contribution to open source projects
• Commitment to diversity, equity, inclusion, and belonging