Mid/Senior AI LLM Engineer

This is a fully remote position, open to applicants in Netherlands, +1 more country.

📋 Description

• Refine open-weight LLMs utilizing SFT, LoRA/QLoRA, DPO, and GRPO techniques.

• Identify model failures and transform them into experimental opportunities.

• Evaluate if enhancements necessitate improved data, post-training adjustments, prompting strategies, or classifiers.

• Create training data and assessments that inform future training initiatives.

• Enhance model performance in areas such as personalization, consistency, tone, multilingual interactions, and group dynamics.

• Deploy models into production and leverage real user behavior for continuous iteration.

• Accelerate the training loop to facilitate quicker, more comparable, and reproducible experiments.

• Collaborate with the AI team, CTO, Product, Web, and DevOps departments.

• Develop models that power an AI companionship platform catering to over 50 million users.

⛳️ Requirements

• Previously post-trained open-weight LLMs for a user-oriented product and successfully launched them into production.

• Experience in which AI played a central role in the product or business model.

• Fine-tuning expertise as a primary area of specialization.

• Proficient in Python, PyTorch, and Hugging Face.

• Practical experience in GPU training and debugging.

• Capability to create training data and evaluations, making evidence-based decisions.

• Proficiency in transitioning work from notebooks to production environments.

• Regular use of AI tools in engineering tasks.

• Comfortable working with uncensored models and explicit NSFW content, including sensitive material while developing and assessing moderation systems.

• Experience with conversational AI, roleplay applications, or highly tailored consumer AI is advantageous.

• Familiarity with multilingual LLMs is a plus.

• Background in moderation, safety, or adversarial testing is a bonus.

• Experience with multimodal models is an advantage.

• Contributions to open-source LLM or post-training are a bonus.

🏝️ Benefits

• 4 weeks (20 working days) of paid time off annually.

• Annual in-person gathering.

• Monthly health insurance expense allowance of 100 USD.

• Unlimited one-on-one sessions with psychologists and lifestyle experts through OpenUp, available to up to three family members as well.

• Co-working space budget covering up to two visits per month (35 EUR / 40 USD each visit).

• Learning budget for courses, books, conferences, events, or certifications.

• Company-issued laptop.

• Monitor budget allocation of up to 250 USD.

• Keyboard, mouse, microphone, and headphones budget of up to 150 USD.

• Premium access to ChatGPT, Hugging Face, Claude Code, and other essential tools.

• Fully remote work setup.