Mid/Senior AI LLM Engineer
- Remote, France
- Senior
- Posted 8 days ago
or apply from Claude / ChatGPT / Muse
Fine-tune self-hosted open-weight language models that drive personal chats, from datasets and evals to GPU training and production; remote in Europe on a B2B contract.
About the role
The work centres on making models hold long conversations with a steady personality and accurate replies. You would take improvements from experiments through deployment and keep tuning after release.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, France
- Seniority
- Senior
- Skills
- Python, PyTorch, Hugging Face, LoRA, QLoRA, DPO, GRPO
- Posted
- 21 Oct 2026
- Last checked
- 28 Oct 2026
What you will do
- Fine-tune existing language models so their conversation gets better
- Build and clean training datasets for more accurate, natural and consistent replies
- Create tests that measure model quality and point to weak spots
- Improve memory, personality consistency and long dialogues, including multilingual and multi-character exchanges
- Investigate failures and adjust training data, prompts and response filters
- Run GPU training experiments, fix technical problems and deploy improved models to production
What they look for
- Hands-on experience fine-tuning open-weight models and shipping them to production
- Strong Python
- PyTorch and Hugging Face or similar ML tooling
- Supervised fine-tuning, LoRA and QLoRA
- Preference-based methods such as DPO or GRPO
- Building training datasets and evaluation frameworks
Benefits
- Fully remote within Europe
- 20 working days of paid leave
- $100 monthly health insurance allowance
- Equipment budget
- Access to AI development tools
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
- 1Upload your CVAdd your CV once. It takes about a minute.
- 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
- 3The form fills itselfName, email, experience and screening questions, field by field.
- 4Application sentYou get a receipt and follow it in your dashboard.
Apply with Keywordise AI7-day free trial, no card.
Apply from your AI assistant
Connect Keywordise to your assistant once, then send it the prompt. It applies for you.
Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
- Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
- Log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.Muse is available in the US only for now.
Apply to Keywordise job cedpkd5cj2Questions about this job
Is this a remote job, and where can I work from?
Yes, it is listed as remote, aimed at candidates in France.
What does this job pay?
The posting does not state a salary, so there is no figure to quote.
What experience is needed?
It is a senior role. The posting asks for: hands-on experience fine-tuning open-weight models and shipping them to production; strong Python; pyTorch and Hugging Face or similar ML tooling. Skills it names include Python, PyTorch, Hugging Face, LoRA.
How do I apply with Keywordise AI?
Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.
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