AI Engineer - Quality and Post-Training

<div class="content-intro"><div><span style="font-family: helvetica, arial, sans-serif; color: rgb(0, 0, 0); font-size: 12pt;"><strong>About Glean:</strong></span></div> <div> </div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.</span></div> <div> </div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.</span></div> <div> </div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.</span></div> <div> </div> <div><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.</span></div></div><div> <p><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><strong>About the Role:</strong></span></p> <p><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">The bottleneck in building reliable and useful AI agents isn't writing code anymore. It's knowing what good looks like, measuring it, and steadily closing the gap. Glean is building the next generation of enterprise AI assistants and autonomous agents that reason, plan, and act across complex, multi-step workflows. This role works at the intersection of applied research, quality, and product engineering to make those systems better.</span></p> <p><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">The focus is on quality improvements across Glean's models and agent harnesses. That means hill-climbing with evals, evolving evalsets and agentic verifiers, post-training models for use cases like model routing, and training task-specific models for enterprise workflows. It also means bringing emerging research into the product and working closely with product teams and customers, turning learnings from evals and production usage into better outcomes through quality improvements.</span></p> <p><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><strong>You will:</strong></span></p> <ul> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Use eval results and production traces to improve the entire stack, including the agent harness, model routing, prompts, and retrieval, while weighing quality against latency and cost.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Work on post-training models with supervised fine-tuning (SFT) and preference- or reward-based optimization (e.g., DPO, PPO, GRPO), including generating the data for training.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Build RL environments for simulating enterprise workflows, including relevant evalsets, harness support, and LLM-based verifiers for hill-climbing and for internal and external benchmarking.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Improve the quality of representative evalsets, LLM judges and agentic verifiers, and calibrate them against human graders so the scores can be trusted in release decisions and model training.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Work with product