About the Role
Join a forward-thinking company focused on developing AI-powered conversational products as a Mid/Senior AI LLM Engineer. This role is fully remote within Europe and primarily involves fine-tuning and enhancing self-hosted large language models that drive personalized AI conversations. You'll actively engage with open-weight models, manage training datasets, evaluate frameworks, and conduct GPU-based training, guiding model improvements from experimentation to production deployment.
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Duties and Responsibilities:
- Fine-tune open-weight large language models using techniques such as supervised fine-tuning (SFT), LoRA, QLoRA, DPO, and GRPO.
- Build and maintain training datasets and model evaluation frameworks.
- Improve conversational memory, personality consistency, and long-running dialogue quality.
- Develop multilingual conversational capabilities and group interaction behaviors.
- Diagnose model failures and optimize training data, prompts, and classifiers.
- Run GPU-based training experiments, debug issues, and assess model performance.
- Deploy improved models into production, measure results, and iterate on performance.
- Collaborate with the LLM Tech Lead, CTO, Product, Web, and DevOps teams to deliver model improvements.
Requirements:
- Proven hands-on experience fine-tuning open-weight LLMs and deploying them into production.
- Strong Python programming skills.
- 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 optimization 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 behavior issues and translate findings into measurable improvements.
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.
- And many more!!!
