Forward Deployed Engineer, Lead - LLM Post-training

Highlights

• Own end-to-end model customization from synthetic data to production deployment.
• Take open-weight models and adapt them for specific customer domains and tasks.
• Deploy adapted models across public cloud, VPC, and on-premises environments.

What they offer

• Top-tier salary and equity
• Stock options for all employees
• Comprehensive medical, dental, vision, life insurance and wellness allowance
• Lunch and dinner provided in office daily
• 22 weeks paid parental leave for all parents
• Unlimited PTO in the US and 30 days in the UK
• Visa sponsorship and immigration pathway support
• Regular off-sites, happy hours and team celebrations

Ideal candidate

High-agency technical leader who thrives in fast-paced startups and translating customer needs into real-world AI. Motivated by ownership, mentorship, and shaping open models that work in production.

Requirements

• Hands-on LLM post-training experience at scale, including RL environments and preference optimization on 50B+ parameter models shipped to production
• Experience building synthetic data generation pipelines, reward models and verifiers for RL workflows
• Deep understanding of evaluation methodology, training dynamics and real-world performance measurement
• Practical experience with multi-node GPU clusters, distributed training debugging and cost optimization
• Strong software engineering fundamentals with production-quality code, data pipelines and reproducible workflows
• 6+ years engineering experience including 2+ years in LLM post-training leadership capacity
• Experience or interest in customer-facing technical roles translating domain requirements into training strategies
• Self-starter with high agency and ownership thriving in fast-paced startup environments