Full-Stack Platform Engineer

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: Washington, DC; Denver, CO; or Colorado Springs, CO preferred (hybrid). Highly qualified candidates outside these locations may also be considered.

Work Authorization: U.S. citizenship required

Clearance: An active security clearance is not required at the time of hire. Candidates must be eligible to obtain and maintain a U.S. security clearance.

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

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.

This position is contingent upon contract award. Travel of up to 15% may be required, primarily to Government facilities and between company locations. Unclassified work may be performed remotely, while future classified responsibilities may require an appropriate clearance and onsite work in an accredited facility.

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

What We Offer

Medical, Dental & Vision – 100% paid for employees, 75% for dependents

401(k) Match – Up to 5% with full vesting after 2 years

Unlimited PTO – With a required minimum of 15 days off annually

Fully Remote Setup – Includes up to $3,000 equipment reimbursement

Continuous Education – Includes up to $500 reimbursement

Disability & Life Insurance – 100% employer-paid

HSA & FSA Options – With monthly HSA contributions from OpenTeams

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