Remote Senior AI LLM Engineer – Self-Hosted Models

Jobgether; France; Remote; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Fully remote in Europe

Health insurance allowance (USD 100/mo

Equipment budget

Learning & development support

Annual team gathering

B2B contracting preferred

AI tools access

Career growth opportunities

Remote onboarding

Open-weight model work

Job summary

Jobgether is partnering to find a Mid/Senior AI LLM Engineer based in France. You will develop, fine-tune, and optimize self-hosted large language models powering consumer-facing AI products.

You will work across data preparation, training, evaluation, and production deployment in a remote-first setting across Europe. You will collaborate with AI engineers, product, web teams and DevOps to translate experiments into reliable, scalable solutions, focusing on memory, personality consistency and

Qualifications

• Hands-on experience fine-tuning open-weight LLMs and deploying models into production.
• Strong Python programming skills for ML workflows.
• Practical experience with PyTorch and Hugging Face or similar frameworks.
• Experience with SFT, LoRA, and QLoRA techniques.
• Familiarity with preference-based training and alignment methods (DPO, GRPO).
• Experience preparing and managing training datasets and evaluation frameworks.
• GPU-based model training, performance optimization, and debugging.
• Analytical skills to investigate model behavior and drive improvements.
• Understanding deployment challenges for LLM-powered apps including latency and monitoring.

Responsibilities

• Fine-tune and optimize open-weight LLMs to improve conversational quality and personalization.
• Prepare and curate training datasets to enhance learning signals.
• Design evaluation frameworks and benchmarks to measure model quality.
• Improve conversational memory and consistency across interactions.
• Develop multilingual conversational capabilities and multi-character interactions.
• Investigate failures and adjust data, prompts, and configurations accordingly.
• Run GPU-based training and refine training workflows for efficiency.
• Apply alignment techniques and model adaptation methods in production.
• Deploy updated models and monitor performance with iterative refinements.
• Collaborate with cross-functional teams to integrate improvements into consumer apps.
• Address moderation requirements and content policy constraints.

Skills

Fine-tuning LLMs

Python programming

PyTorch

Hugging Face

Model deployment

Experimentation

Data preparation

Tools

Hugging Face

CUDA

GPU tooling

Job description

Jobgether is partnering to find a Mid/Senior AI LLM Engineer based in France. You will develop, fine-tune, and optimize self-hosted large language models powering consumer-facing AI products.

You will work across data preparation, training, evaluation, and production deployment in a remote-first setting across Europe. You will collaborate with AI engineers, product, web teams and DevOps to translate experiments into reliable, scalable solutions, focusing on memory, personality consistency and