Senior NLP Engineer

Overview

Accountabilities

• 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.
• Research and evaluate state-of-the-art NLP techniques and translate them into actionable improvements for the product roadmap.
• Implement and improve alignment methods such as RLHF, DPO, and other post-training optimization strategies.
• Collaborate with validation, content, and data teams to design experiments and measure model quality and performance.
• Contribute to scalable backend systems supporting high-throughput model inference and production AI workloads.

Requirements

• 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.
• Solid knowledge of alignment techniques such as RLHF, DPO, and related post-training methodologies.
• Background in backend or systems engineering using Python (preferred), Go, or C#, with exposure to scalable deployment architectures.
• Experience in AI-first companies or research-driven product teams (e.g., conversational AI, LLM startups) is highly desirable.
• Strong analytical thinking, experimentation mindset, and ability to translate research into production-ready systems.
• Nice to have: experience with multimodal models (text, image, video), distributed training on large datasets, or CV-related model development.

Benefits

• Fully remote work opportunity with global team flexibility
• 28 days of annual vacation plus 7 additional wellness days
• Performance bonuses, including referral rewards up to $5,000
• Financial support for professional development (50% coverage of training, conferences, and industry events)
• English language learning discounts through corporate programs
• Annual health support budget up to $1,000 for medical insurance or healthcare expenses
• Workplace support allowance up to $1,000 every three years for home office or co-working setup
• Internal rewards system with redeemable bonuses for perks, experiences, and team activities
• Access to a globally distributed, innovation-driven engineering culture with continuous learning opportunities

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