Mid/Senior AI LLM Engineer

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

📋 Description

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

• Analyze model failures and transform them into experimental opportunities.

• Assess whether enhancements necessitate improved data, post-training adjustments, prompting strategies, or classifier modifications.

• Develop training datasets and evaluations that directly influence future training initiatives.

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

• Deploy models and enhancements into production environments.

• Leverage real user behavior to inform iterative processes.

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

• Collaborate effectively with the LLM Tech Lead, CTO, Product, Web, and DevOps teams.

⛳️ Requirements

• Experience in post-training open-weight LLMs for a user-facing product, successfully deployed to production.

• Background in working where AI was integral to the product or business.

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

• Proficient in Python, PyTorch, and Hugging Face.

• Practical experience with GPU training and debugging.

• Capability to create training data and evaluations and make decisions based on evidence.

• Ability to transition work from notebooks to production environments.

• Daily utilization of AI tools in engineering tasks.

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

• Experience with conversational AI, roleplay products, or highly personalized consumer AI is advantageous.

• Familiarity with multilingual LLMs is a plus.

• Knowledge of moderation, safety, or adversarial testing is a bonus.

• Experience with multimodal models is an added benefit.

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

🏝️ Benefits

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

• Annual in-person meetup.

• Monthly allowance of 100 USD for health insurance costs.

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

• Co-working space budget of up to twice per month (35 EUR / 40 USD per visit).

• Budget for learning opportunities including courses, books, conferences, events, or certifications.

• Provision of a company laptop.

• Monitor budget of up to 250 USD.

• Budget for keyboard/mouse/mic/headphones up to 150 USD.

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

• Fully remote work setup.

• Preferred long-term B2B contract structure, with flexibility.