Senior NLP Engineer

Role & Responsibilities:

• Train, fine-tune, and optimize large language models powering AI companion and conversational systems at scale.
• Design, build, and maintain agentic frameworks, including agent harnesses, reasoning loops, and chat orchestration systems.
• Own the end-to-end LLM lifecycle, from data preparation and model training to deployment and production monitoring.

Requirements & Qualifications:

• Strong hands-on experience training and fine-tuning large language models in production or research environments.
• Proven experience building agentic pipelines, LLM orchestration systems, or AI agent frameworks.
• Deep understanding of transformer architectures, PyTorch, and modern NLP/ML libraries.

Benefits & Culture:

• Fully remote work opportunity with global team flexibility and 28 days of annual vacation plus 7 additional wellness days.
• Performance bonuses, including referral rewards up to $5,000 and financial support for professional development.
• Annual health support budget up to $1,000 for medical insurance or healthcare expenses.