Full-Stack Platform Engineer
OpenTeams is hiring a full-stack platform engineer to build an AI platform: API-first backend services (workflow orchestration, data ingestion, evaluation, identity federation) plus analyst-facing web consoles built on those same public APIs. Core stack includes Python/TypeScript/Go, a component-based frontend (React/Vue/Svelte), REST/GraphQL, OIDC/SAML/PKI auth, containers, and relational databas
- Compensation
- $145K–$250K / yr
- Location
- United States - Hybrid
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Fullstack
- Posted
Skills
Must have
- 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
- Familiarity with AI interface patterns: streaming responses, asynchronous job status, usable interfaces during long-running operations
- 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
- Ability to translate technical requirements and user feedback into clear, maintainable interface specifications
- Strong written communication skills and ability to support technical users integrating with platform services
- Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience
Nice to have
- Experience building headless platforms, developer platforms, or public API products
- Experience building user interfaces on top of LLMs, agents, or other AI/ML services
- Experience developing human-in-the-loop review, scoring, annotation, or adjudication tooling
- Familiarity with Government identity and access-management standards, including CAC/PIV authentication
- Experience developing Jupyter notebooks, SDK examples, or technical enablement materials for analyst and data science audiences
- Experience delivering software for Government, defense, or another regulated industry
- Experience integrating AI/ML services, model gateways, or evaluation tools through documented API contracts
- Familiarity with access-control models such as role-based or attribute-based access control
- Familiarity with design systems or component libraries
- Active or previously held U.S. security clearance
Full description
Who We Are
Every organization runs on intelligence: years of accumulated knowledge, decisions, and context. As AI takes on more of that work, companies face a choice: rent that intelligence from vendors who keep the data, the context, and the results, or own it.
OpenTeams exists to make ownership possible.
Founded by Travis Oliphant, creator of NumPy and SciPy, and built by people with deep roots across the open-source ecosystem, including NumPy, SciPy, PyTorch, and Jupyter, we help enterprises and governments build AI they control, govern, and evolve themselves.
If that sounds like your kind of work, we'd like to meet you.
Full-Stack Platform EngineerLocation: U.S Hybrid - Washington, DC, Denver, CO or Colorado Springs, CO.
Work Authorization: U.S. citizenship required
Clearance Requirement: An active TS/SCI clearance is preferred. Candidates may also be considered if they previously held a TS/SCI with CI polygraph or currently hold an active TS or Secret clearance. Candidates that are not eligible or willing to obtain a security clearance will not be considered.
Salary Range: $145,000–$250,000 USD, dependent on experience level and location
Travel Requirement: Up to 15% travel is required.
About the Role
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. If those interfaces are unstable or hard to reason about, adoption stalls regardless of what the platform can do underneath.
On the backend, you build API-first services for workflow orchestration, data ingestion, evaluation execution, and results management, and 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.