Mid/Senior AI LLM Engineer – Remote (Europe)

RMG Talent
Contract type
Freelance
Work mode
Remote · Europe
Experience
Senior · Not stated

Level inferred from job title

Job description

A hands-on Mid/Senior AI LLM Engineer role focused on improving self-hosted open-weight large language models that power consumer-facing conversational AI products. The engineer owns the full post-training loop from data and training to evaluation and deployment.

At a glance

Employment
Independent contractor
Work mode
Remote · Europe
Pay
EUR 80,000 – 120,000 / year

What you'll do

  • Fine-tune and post-train open-weight language models and deploy them into production
  • Work on long-context consistency, personalization, multilingual quality, group chat and better model evaluation
  • Debug and optimise GPU training workloads
  • Measure and ship improvements for consumer-facing conversational AI products
  • Contribute to ongoing moderation and safety evaluations

What we're looking for

  • Hands-on experience fine-tuning open-weight language models and deploying them into production
  • Strong Python skills
  • Practical experience with PyTorch and Hugging Face
  • Experience with supervised fine-tuning and LoRA/QLoRA
  • Familiarity with preference-based training methods such as DPO or GRPO
  • Practical GPU training and debugging experience
  • Ability to build training datasets and evaluate model performance independently
  • Experience working on consumer-facing AI products
  • Comfortable working with unrestricted AI models and adult content as part of the product, including sensitive moderation material
  • A hands-on engineering profile - not an AI researcher and not a developer who simply connects to ChatGPT APIs

Benefits

  • Fully remote working within Europe
  • Long-term collaboration, with B2B contracting preferred
  • 20 working days of paid leave
  • $100 monthly health insurance allowance
  • Equipment budget
  • Access to AI development tools
  • Learning and development support
  • Annual team gathering
  • Opportunity to work on self-hosted LLMs powering consumer-facing AI products

Apply