Senior NLP Engineer

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.

• 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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