AI Engineer - Quality and Post-Training
Core
Improving the quality, reliability, and performance of Glean's enterprise AI agents and models through evaluation, post-training, and RL environments.
Role type
Senior AI Engineer (Quality & Post-Training)
Builds
Agentic capabilities, model routing, RL environments, and evalsets for enterprise workflows.
Domain
Enterprise AI / Agentic AI / Machine Learning
Deliverable
production ML models
Required skills
Post-training LLMs (SFT, DPO, PPO, GRPO), building evals and evalsets, RL environment design, Python, Go, ML frameworks, production ML systems
Preferred skills
TypeScript, LLM-as-a-judge verifiers, calibrating human graders
Technologies
Python, Go, TypeScript, SFT, DPO, PPO, GRPO
Responsibilities
Use eval results and production traces to improve the agent harness, model routing, prompts, and retrieval; Work on post-training models with supervised fine-tuning and preference-based optimization; Build RL environments for simulating enterprise workflows; Improve the quality of evalsets, LLM judges, and agentic verifiers; Work with product, platform, and research teams to land quality improvements in production.
Seniority
Senior, hands-on IC