Job 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 Engineer Location: 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. 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 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, keeping the platform genuinely headless rather than headless in name 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 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 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, and the ability to build clean, functional interfaces without dedicated design support Familiarity with the patterns AI interfaces depend on — streaming responses, asynchronous job status, and interfaces that stay usable while an operation is still running 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 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 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 Grow With Us At OpenTeams, growth isn’t just about the company—it’s about you. We believe the best careers are built at the edge of your potential. That is where new tools, ideas, and technologies change the world. Here, you’ll work alongside pioneers of AI, solving problems that matter: making AI more transparent, more ethical, and more empowering. As your skills grow, our career framework provides a pathway and recognition of that increased impact. Opportunities aren’t limited by geography. You’ll collaborate with global experts, contribute to open source projects that power the world’s technology, and stretch your skills daily. That global perspective and diversity makes our solution more universal and robust. We are committed to continuing to celebrate diversity on our team. Supported people are successful people. We offer 100% employer paid medical premiums for employees and self-managed PTO with a minimum time off requirement, so that our teams are able to do their best work. We invest in curiosity, creativity, and ownership. That means you’ll be trusted to boldly innovate, supported to learn fast, and celebrated for successful collaboration. Commitment to diversity, equity, inclusion, and belonging OpenTeams understands that valuing diverse creative practices and forms of knowledge is crucial to and enriches the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, disabled people, persons of all sexual orientations, gender identities and expressions. We are an equal opportunity employer - all qualified applicants will receive equal consideration for recruitment, interviews, employment, training, compensation, promotion, and related activities. We do not discriminate based on race, religion, gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. OpenTeams will not tolerate discrimination or harassment based on these characteristics or any other unlawful behavior, conduct, or purpose.

Requirements

Must-haves

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.
You also produce what external teams need to build on the platform: documentation, reference implementations, and client examples that work when someone follows them.
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, keeping the platform genuinely headless rather than headless in name
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

Nice-to-haves

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
Grow With Us
Commitment to diversity, equity, inclusion, and belonging

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiapimlpythontypescriptgorestgraphqlreactvuesveltedesign systems

Platform: greenhouse
Effort: quick

Benefits

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