Mid/Senior AI LLM Engineer

RMG Recruitment Agency

. Fine-tune and post-train open-weight language models and deploy them into production .

Posted 10/22/2026full-timeRemoteSenior💰 €80,000 - €120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in fine-tuning and deploying open-weight language models, with strong proficiency in Python and practical experience in PyTorch and Hugging Face. Capable of building training datasets, evaluating model performance, and optimizing GPU training workloads for consumer-facing AI products.

Highest-signal resume keywords

Fine-Tuning Open-Weight Language ModelsPython ProgrammingPyTorchHugging FaceGPU Training Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Fine-TuningSupervised Fine-TuningLoRAQLoRADataset BuildingModel Performance EvaluationDebuggingLong-Context ConsistencyMultilingual QualityConsumer-Facing AI Products

Industry Keywords

Conversational AIModerationSafety EvaluationsPreference-Based TrainingDPOGRPO

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

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
Own the full loop from data and training to evaluation and deployment

Requirements

What you’ll need

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

Comp & perks

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