Mid/Senior AI LLM Engineer - Remote (Europe)

RMG Talent; United States; Remote; USD 89,000 - 134,000; Full time

Benefits offered by this job

Fully remote in Europe

Long-term collaboration with B2B

20 working days paid leave

100 USD monthly health insurance

Equipment budget

Access to AI dev tools

Learning and development support

Annual team gathering

Work on self-hosted LLMs

Job summary

RMG Talent is seeking a hands-on Mid/Senior AI LLM Engineer to improve self-hosted models powering consumer-facing AI products. You will fine-tune open-weight LLMs, build datasets, and ensure robust deployment from data to evaluation and production, not via third-party APIs.

The role is fully remote within Europe with ASAP start. Salary is 80,000–120,000 EUR gross per year, with long-term B2B collaboration preferred.

Qualifications

• Hands-on experience fine-tuning open-weight language models and deploying them into production.
• Strong Python skills and 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 with unrestricted AI models and adult content as part of the product.
• A hands-on engineering profile — not an AI researcher or ChatGPT API-only developer.

Responsibilities

• Fine-tune and post-train open-weight models and deploy to production.
• Build training datasets and evaluate model performance independently.
• Work on long-context consistency, personalization, multilingual quality, and evaluation.
• Debug and optimise GPU training workloads.
• Measure and ship improvements for consumer-facing AI products.
• Contribute to ongoing moderation and safety evaluations.

Skills

Fine-tune LLMs

Python

PyTorch

Hugging Face

LoRA

Preference training

GPU training

Dataset building

Model evaluation

Consumer AI

Production deployment

Tools

Hugging Face

PyTorch

CUDA

Job description

This is a remote position.

About the role

We are looking for a hands-on Mid/Senior AI LLM Engineer to improve the self-hosted large language models that power consumer-facing conversational AI products. The role centres on fine-tuning open-weight LLMs, building datasets and evaluations, debugging GPU training runs and taking measurable improvements into production. This is a specialist post-training engineering position: you will own the full loop from data and training to evaluation and deployment. It is not an AI research role, nor a role connecting to third-party chatbot APIs.

Key responsibilities

• Fine-tune and post-train open-weight language models and deploy them into production
• Build training datasets and evaluate model performance independently
• 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

Location and terms

Fully remote within Europe. Start: ASAP. Salary: EUR 80,000-120,000 gross per year. Long-term collaboration, with B2B contracting preferred.

Requirements

• 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