LLM Chatbot Architect — Fine-Tune, Test, and Hack Faster AI Bots

详细信息

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 What worked last week might already be outdated today.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 NoteThis 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.