Mid/Senior AI LLM Engineer

Location: Fully remote within Europe

Company

hirify.global is hiring for a company developing AI-powered conversational products with self-hosted LLMs.

What you will do

• Fine-tune open-weight large language models using SFT, LoRA, QLoRA, DPO, and GRPO.
• Build and maintain training datasets and model evaluation frameworks.
• Improve conversational memory, personality consistency, long-running dialogue quality, multilingual capabilities, and group interaction behaviours.
• Diagnose model failures and optimise training data, prompts, and classifiers.
• Run GPU-based training experiments, debug issues, assess performance, and deploy improved models into production.
• Collaborate with the LLM Tech Lead, CTO, Product, Web, and DevOps teams.

Requirements

• Proven hands-on experience fine-tuning open-weight LLMs and deploying them into production.
• Strong Python programming skills and practical experience with PyTorch and Hugging Face.
• Hands-on experience with GPU-based model training and debugging.
• Experience with supervised fine-tuning and parameter-efficient fine-tuning techniques, including LoRA or QLoRA.
• Familiarity with preference optimisation techniques such as DPO or GRPO.
• Ability to independently build training datasets and model evaluation frameworks.
• Experience working with consumer-facing AI products.
• Comfort working with uncensored AI models, explicit adult/NSFW content, and sensitive moderation material.
• Ability to diagnose model behaviour issues and translate findings into measurable improvements.

Culture & Benefits

• Fully remote work within Europe.
• Long-term B2B collaboration.
• 20 working days of paid leave and a $100 monthly health insurance allowance.
• Equipment budget and access to AI development tools.
• Learning and development support and an annual team gathering.
• Opportunity to work on self-hosted LLMs powering consumer-facing AI products.