Senior Founding Engineer

In this role you will lead the architecture and implementation of model evaluation frameworks and post-training pipelines at an ambitious AI startup. You’ll influence the technical roadmap and long-term research direction, collaborating with a lean, high-caliber team. Expect to tackle end-to-end challenges across alignment, evaluation, and data-driven improvement of adaptive intelligence systems. Your work will have a meaningful impact on how models reason, adapt, and perform in real-world contexts.

• Design and execute post-training workflows including preference modelling, reinforcement learning from feedback, and distillation to create responsive systems
• Build dynamic evaluation frameworks that assess model outputs across contexts and interaction histories
• Architect data and feedback pipelines using human input, demonstrations, critiques, and synthetic trajectories
• Evaluate and improve context retention and adaptation in memory systems over extended interactions
• Conduct error analysis to identify and mitigate subtle failure modes and outdated assumptions

• 5+ years of industry experience in production ML or LLM systems
• Hands-on mastery in post-training, LLM evaluation, or related areas (preference data curation, RL from feedback, distillation)
• Strong Python skills and experience with PyTorch or JAX
• Solid fundamentals in data engineering, experiment tracking, and inference infrastructure
• Proven ability to translate research questions into scalable systems
• Experience setting technical vision and mentoring engineers or researchers

• leadership
• mentoring
• research communication
• model post-training
• LLM evaluation
• preference data curation