Build working prototypes of developer surfaces, tooling integrations, and applications on top of open source AI infrastructure — with a bias toward shipping something real in days, not weeks
Work with coding agents and AI-assisted development tools as a core part of your workflow — not as a novelty, but as the way you operate
Translate concepts, framing documents, and strategy ideas into demonstrations that can anchor a conversation, a community event, or a piece of content
Collaborate closely with the social media and community team so that what you build is legible and shareable — demos that developers can understand and react to, not just screenshot
Contribute to Mozilla's open source repositories and work in the open; your code should be something the community can fork, extend, and learn from
Stay close to the open source AI ecosystem — know what's being built, what's broken, and where a working prototype can surface a real gap or opportunity
Help evaluate and opine on open source AI tools, stacks, and developer surfaces through the lens of someone who's actually tried to build on them

Requirements

Solid software engineering fundamentals — you write code that others can read, and you know the difference between a prototype and production
Demonstrated comfort working with coding agents and AI-assisted development tools (Cursor, Claude Code, or equivalent) as a force multiplier, not a crutch
Experience with the open source AI stack: inference, orchestration, evaluation, or adjacent layers — you've built something real on top of open models
Fluency in Python and/or TypeScript, with enough range to pick up whatever the project needs
Experience building APIs, developer-facing tools, or integrations — you understand what it means to build for other builders
A strong sense of what makes a prototype useful for a conversation, not just technically functional
Comfort working in public — open repos, community feedback, building in the open
Strong written communication; you can explain what you built and why, to a technical audience, without over-engineering the explanation

Benefits

Fixed-term, contract-based engagement
Flexible hours and outcome-oriented working style
Work produced through this engagement is expected to be developed in the open where appropriate, including public repositories and community-facing channels
This opportunity is scoped around specific prototyping and ecosystem-facing deliverables, rather than a permanent employee role
Budget for this opportunity: $200,000–$227,250 annualized equivalent

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

software engineering fundamentalsPythonTypeScriptAPI developmentopen source AI stackinferenceorchestrationevaluationprototypingdeveloper-facing tools

Soft Skills

strong written communicationcollaborationcomfort working in publicability to translate conceptsunderstanding of user needscommunity engagementadaptabilityproblem-solvingcritical thinkingcreativity