AI/LLM Engineer (Model Fine-Tuning & Conversational AI)
About the job
What you'll do
Fine-tune and optimize open-weight language models, prepare training data, and build evaluation workflows to improve conversational quality, memory, personality consistency, and multilingual performance. Run GPU-based experiments, investigate model issues, and deploy and iteratively improve models in production in collaboration with engineering, product, web development, and DevOps teams.
What they're looking for
Requires hands-on experience fine-tuning open-weight LLMs and deploying them to production, along with strong Python skills and practical experience with PyTorch, Hugging Face or comparable frameworks, SFT, LoRA, and QLoRA. Candidates should also have experience preparing datasets, evaluating models, conducting GPU training experiments, and demonstrating measurable improvements; preference optimization experience and consumer-facing AI product experience are valued.