Senior NLP Engineer

Responsibilities:

• Train and fine-tune language models powering our AI companions.
• Own and improve agent harnesses, agentic loops, and the chat interface algorithm.
• Build and maintain the full LLM stack — from model training to production deployment.

Requirements:

• Deep experience training and fine-tuning large language models.
• Hands-on experience building agent harnesses and agentic pipelines.
• Strong understanding of RLHF, DPO, and alignment/post-training techniques.

Benefits:

• Remote opportunity with full-time work.
• 28 vacation days and 7 wellness days per year.
• Health benefits and workplace organization support.
• Bonuses up to $5000 for referrals and 50% payment for professional training.