0to1 Engineer

Summary

Mozilla is building a position in open source AI — through research, community, tooling, and public advocacy. A big part of that work is showing, not just telling. We need someone who can take an idea that would otherwise become a Figma deck or a long document and turn it into something you can click on, deploy, and share — fast.

This is a project-based prototyping role, but it requires a real engineer. You'll build working demonstrations of what open AI infrastructure can do: developer surfaces, integrations, and small applications that make abstract ideas tangible and invite conversation. You'll work in public, alongside the people building our community and social presence, so that what you build becomes part of how

The contractor in this engagement will partner closely with the teams working on Mozilla Intelligence and Harbor, as well as community and social media leads, to create prototypes that help Mozilla show up credibly in the places where developers already gather. The goal is not to build production systems or own a long-term product roadmap, but to produce working artifacts that spark engagement, learning, and conversation in the open source AI ecosystem.

What you'll do

• 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

What you'll bring

• 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 TypeSc