Forward Deployed Engineer, Lead - LLM Post-training
Core
Lead end-to-end technical strategy for LLM post-training and evaluation, including synthetic data generation, reward modeling, and production deployment for enterprise customers.
Role type
Senior IC machine-learning engineer (LLM post-training) with leadership responsibilities
Builds
RL training environments, evaluation infrastructure, and post-trained models for specific customer domains
Domain
Applied AI, Large Language Models, Reinforcement Learning
Deliverable
production ML models
Required skills
LLM post-training at scale, RL training environments, synthetic data generation, reward modeling, evaluation methodology, distributed training infrastructure, software engineering fundamentals
Preferred skills
Customer-facing technical roles, startup environment adaptability
Technologies
Multi-node GPU clusters, data pipelines, version control for datasets and models
Responsibilities
Lead post-training engagements with enterprise customers, design and build RL training environments, design and build evaluation infrastructure, own the data pipeline from raw data to training-ready datasets, deploy post-trained models across hybrid environments, shape and scale the post-training practice by defining playbooks and mentoring engineers
Seniority
Senior, hands-on IC with leadership/mentorship
