The Challenge (Straight to It) LLMs shift fast. What worked last week might already be outdated today.
We’re looking for someone with hands-on experience fine-tuning and customizing LLMs for chatbot use cases — especially through APIs or local tools. You should be comfortable experimenting quickly, running real-world tests, and helping us decide what’s worth scaling.
This isn’t a full-stack dev role or a finished product. It’s about building scrappy prototypes, validating what works, and moving fast.
What You’ll Be Doing - Customize or fine-tune LLMs (via API or local setup) to test for tone, accuracy, and performance - Build lightweight chatbot prototypes to validate different approaches - Compare tools and models across speed, cost, and output quality - Explore hosted or local setups and recommend the best path forward - Work with our team to turn working tests into scalable next steps - Stay on top of LLM trends and releases — and help us adapt quickly
You’re a Good Fit If: - You’ve fine-tuned or adapted an LLM to act like a chatbot - You’ve built quick tests or prototypes to validate model behavior - You understand local/self-hosted LLM basics (even without deploying one end-to-end) - You’re comfortable thinking in tradeoffs: cost vs. speed vs. quality - You learn fast, build fast, and explain your thinking clearly
How to Apply ⚠️ We prioritize applicants who include a short video (max 5 minutes, camera on).
In your video, walk us through a chatbot-related test or prototype you’ve worked on — even if it was just a rough setup.
Show us: - What model/tool you used and how you customized it - What you were testing — and why - What worked, what didn’t, and what you’d change next time - Anything relevant: screen-share test outputs, tools, or notes
If it’s a good match, we’ll send a short follow-up task.
What You’ll Get - Ownership of real testing — not just implementation - Fast feedback and room to experiment - Remote, async work with a tight, focused team - A chance to directly shape which LLMs power our products next
Final Note This isn’t a typical dev job. It’s for someone who loves making LLMs work in real chatbot settings — even if that means hacking things together to get results. If that sounds like your kind of work, we’d love to hear from you.
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