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Mid/Senior AI LLM Engineer – Remote (Europe)

Role overview

Qualifications

  • 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

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

Key facts

  • Remote from: Europe
  • Full time
  • Mid-level (2-5 years)
  • AI Engineer
  • 80 - 120K yearly
  • English

Hard skills

About the company

RMG Recruitment Agency logo

RMG Recruitment Agency

Staffing & Recruiting

RMG Talent is a global recruitment agency specialising in the Forex and iGaming industries. We recruit top-performing talent for sales, retention, affiliate, compliance, operations, payments, tech, and executive positions. Services We Provide • Recruitment for Forex Companies • Recruitment for iGaming Companies • Mass Hiring (Conversion & Retention) • Executive Search • Tech, CRM & BI Recruitment With a strong presence in Israel, Cyprus, LATAM, Africa and Europe, we provide fast, boutique-style recruitment and deep industry expertise for both regulated and non-regulated brands. Our specialties include: • Conversion & Retention Agents • Team Leaders & Floor Managers • Back Office, Compliance & Payments • Affiliate Managers & Heads of Affiliates • CRM, BI, Product & Tech roles • Executive Search (C-Level) Why companies choose RMG Talent: • Fast turnaround with high-quality shortlists • Global network across 25+ countries • Deep understanding of Forex/iGaming roles • Personal, discreet and boutique service Website: rmgtalent.com

Company details

IndustryStaffing & Recruiting
Company size2-10

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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


Salary: EUR 80,000–120,000 gross per year

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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