Machine Learning Engineer, AI Assistant & Autonomous AI Agents

About the Role

Glean is looking for senior engineers who will provide expert-level individual contributions and thought leadership to help us build the next generation of intelligent enterprise AI assistants and autonomous AI agents. We are reimagining how LLMs and agents can reason, plan, and act to solve complex, multi-step enterprise workflows. You will work at the intersection of applied research and production engineering in areas such as agentic frameworks, LLM orchestration, low latency LLM inference and optimization, domain adapted and memory augmented LLMs, reinforcement learning, building evaluation frameworks for complex enterprise tasks. We work closely with our customers, deeply understand their pain points, and use the right mix of research-driven and pragmatic engineering approaches to solve them.

Responsibilities

• Build frameworks for LLM-powered agents to use tools and knowledge sources effectively
• Invent new agentic architectures and signals to improve reasoning, planning, and personalization in workplace AI assistants
• Design and optimize reinforcement learning and fine-tuning approaches to improve the quality of agentic systems
• Lead development of scalable evaluation, benchmarking, and optimization loops for agents in production
• Drive technical strategy and mentor other engineers, raising the technical bar across the team
• Write robust, maintainable, and well-tested code that powers enterprise-grade assistants and agents

Requirements

• 2+ years as a Staff Engineer, Principal Engineer, or equivalent
• 5+ years of industry experience in AI or Machine Learning Engineering
• Experience working with agentic frameworks, reinforcement learning, natural language processing, or other large systems involving machine learning
• Proven ability to design, build, and ship production-ready systems
• Proficiency in your ML framework of choice
• Strong coding skills (Python, Go, Java, C++, ...)
• Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company
• A proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large features