Senior NLP Engineer
TLDR
Own end-to-end LLM lifecycle and agentic framework development for scalable conversational AI in a research-driven, production-focused environment.
- 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.
- 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
Requirements:
Benefits:
Benefits
Health Insurance
Annual health support budget up to $1,000 for medical insurance or healthcare expenses
Home Office Stipend
Workplace support allowance up to $1,000 every three years for home office or co-working setup
Learning Budget
Access to a globally distributed, innovation-driven engineering culture with continuous learning opportunities
Rewards system with bonuses for perks and activities
Internal rewards system with redeemable bonuses for perks, experiences, and team activities
Paid Time Off
28 days of annual vacation plus 7 additional wellness days
Remote-Friendly
Fully remote work opportunity with global team flexibility
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services