
Job Overview
Location
Paris
Job Type
Full-time
Category
Software Engineering
Date Posted
December 31, 2025
Full Job Description
đź“‹ Description
- • Champion the builders who are shaping the future of open AI across Europe. As Featherless.ai’s first boots-on-the-ground presence in Paris, you will be the human bridge between our ultra-reliable open-model inference platform and the students, researchers, indie hackers, and pre-seed founders who rely on it. Every day you will answer questions in Discord, jump on Zoom with a PhD candidate in Zurich, or sprint through a 48-hour hackathon in Berlin—always with the goal of turning curiosity into production deployments.
- • Own the end-to-end developer journey for new Featherless users. You will write concise “getting-started” notebooks, spin up lightweight React front-ends that call our REST endpoints, and package everything into GitHub templates so the next builder can ship in minutes, not hours. When something breaks, you open the browser dev-tools, reproduce the bug, and either patch the example or file a crisp ticket for the infra team.
- • Grow the Featherless ecosystem through deliberate, measurable outreach. Map every university AI lab, student club, and early-stage accelerator from Lisbon to Tallinn; build relationships with organizers; and secure Featherless sponsorships or workshop slots. Track funnel metrics—sign-ups, active projects, GPU hours—so we know which communities deliver outsized impact.
- • Represent Featherless on stage and on camera. Whether you’re giving a 10-minute lightning talk at Station F, judging a demo day in Munich, or live-streaming a “Deploy Llama-3 in 5 minutes” tutorial, you will embody our brand: technical depth, radical openness, and relentless reliability. After each event you’ll debrief with the founders, packaging attendee feedback into actionable product insights.
- • Surface the voice of the developer community inside Featherless. Aggregate Discord pain-points, feature requests, and wild ideas into weekly “Voice of the Builder” reports that directly influence roadmap prioritization. When a researcher in Amsterdam asks for speculative decoding, you’ll test the alpha, write a short benchmark report, and shepherd the feature to general availability.
- • Ship micro-products that showcase what open models can do. One week you might fine-tune a French-language LoRA on Mistral-7B and wrap it in a Streamlit chat UI; the next you’ll fork LangChain to add Featherless as a first-class LLM provider and open a PR. Each artifact is both a learning tool for the community and a proof-point for prospective enterprise customers.
- • Collaborate cross-functionally with founders, infra engineers, and GTM leads. You’ll sit in sprint demos, translate technical trade-offs into plain English for our BD team, and occasionally jump into the infra repo to add a new endpoint or improve cold-start latency. Your work spans engineering, product, and community—perfect training for a future founder or senior DevRel lead.
- • Travel across Europe to hackathons, conferences, and partner offices. Expect 1-2 trips per month—from ETH Zurich’s AI Center to VivaTech in Paris—expensed and planned so you can focus on builders, not logistics. You’ll return with new friends, fresh datasets, and a suitcase full of swag.
Skills & Technologies
About Featherless AI Inc.
Featherless AI Inc. provides serverless LLM hosting, offering developers and AI teams worldwide instant access to a continually expanding library of over 17,300 open-source models. Their platform facilitates seamless deployment for fine-tuning, testing, and production, empowering diverse applications from AI software development to creative writing platforms. Featherless distinguishes itself by eliminating the burden of server management and significantly reducing inference costs, providing transparent, flat-rate pricing with unlimited tokens. As an AI research lab, they pioneer open-source, post-transformer model research and aim to make advanced AI more accessible and affordable for a global customer base, supporting innovation across various industries.
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