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 Engineer x2

Location: U.S - Remote OR Hybrid - Washington, DC, Denver, CO or Colorado Springs, CO Work Authorization: U.S. citizenship required Clearance:

U.S.-Remote Opening: Active clearance not required. Candidates must be eligible and willing to obtain and maintain a U.S. security clearance.
Hybrid Opening: Active TS/SCI clearance 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.

Salary Range: $145,000–$250,000 USD, dependent on experience level and location

Openings: Two positions available:

One hybrid position: Located in or willing to work hybrid from Washington, DC; Denver, CO; or Colorado Springs, CO. Active TS/SCI clearance required. Up to 15% travel.
One U.S.-remote position: Remote from anywhere in the U.S. Clearance not required, but must be willing and able to obtain and maintain one.

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: platform capabilities are consumed through documented interfaces by analysts, internal teams, and partner organizations. If those interfaces are unstable or hard to reason about, adoption stalls regardless of backend capabilities.

On the backend, you’ll build API-first services for workflow orchestration, data ingestion, evaluation execution, and results management, implementing identity federation and access controls. On the frontend, you’ll build analyst-facing tooling — modern web consoles and utilities for launching workflows, inspecting results, and diagnosing failures.

You’ll also produce documentation, reference implementations, and client examples that external teams need to build on the platform.

Key Responsibilities

Design, implement, document, and maintain APIs for workflow orchestration, data ingestion, evaluation execution, and results management
Define clear, stable, and versioned interface specifications for external integrators
Implement brokered single sign-on and identity federation (OpenID Connect, SAML, PKI/X.509)
Enforce authentication, authorization, and access-control requirements across services
Design relational data models supporting platform APIs and workflows
Build analyst-facing web interfaces for launching workflows, inspecting results, and diagnosing failures
Develop UI for AI-specific interaction patterns: streaming output, long-running runs, prompt/configuration management, side-by-side comparisons
Ensure analyst-facing interfaces are built strictly on public APIs
Produce and maintain API documentation, integration guides, SDK examples, and workflows
Develop notebooks and enablement resources for data science audiences
Support partner organizations and Government teams integrating with platform interfaces
Write automated tests and maintain CI pipelines across backend and frontend code
Ensure dependencies are compatible with deployment environments
Collaborate with platform, security, infrastructure, and ML engineers

Required Skills & Experience

U.S. citizenship and eligibility to obtain and maintain a U.S. security clearance
5+ years of full-stack or backend engineering experience, with emphasis on API-first services
Proficiency in Python, TypeScript, Go, or comparable languages
Experience designing, documenting, versioning, and maintaining REST or GraphQL APIs
Working proficiency with modern frontend frameworks (React, Vue, Svelte)
Familiarity with AI interface patterns (streaming responses, async job status)
Hands-on experience with authentication/authorization protocols (OpenID Connect, SAML, PKI/X.509)
Experience developing containerized applications and services
Experience with Git workflows, automated testing, and CI
Ability to write developer-facing documentation and reference implementations
Experience with relational databases and API-level data modeling
Strong written communication skills for technical users
Bachelor’s degree in computer science, engineering, or related field, or equivalent experience

Nice to Have

Experience building headless platforms, developer platforms, or public API products
Experience building UIs on top of LLMs, agents, or AI/ML services
Experience developing human-in-the-loop tooling
Familiarity with Government identity/access-management standards (CAC/PIV)
Experience developing Jupyter notebooks, SDK examples, or enablement materials
Experience delivering software for Government, defense, or regulated industries
Experience integrating AI/ML services via documented API contracts
Familiarity with role-based or attribute-based access control models
Familiarity with design systems or component libraries
Active or previously held U.S. security clearance

Full-Stack Platform Engineer