Software Engineer, AI/ML Infrastructure

About Glean: 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. 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. 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 Age [... source excerpt omitted ...] RAG, query understanding, document understanding, domain-adapted language models, natural language question-answering, evaluation, and experimentation. We interact regularly with customers, deeply understand their pain points, and use whatever tool is necessary, simple or complex, to solve their problems. You will: Design, build, and improve AI/ML systems and data pipelines infrastructure, including platforms that power large language model serving, routing, and orchestration at scale Work with and enable other engineers focused on modeling and Agentic capabilities Build agentic systems that leverage AI to proactively monitor, diagnose, debug and maintain infrastructure heal [... source excerpt omitted ...] s, or learn from battle-tested ones About you: 2-6 years of experience BA/BS in computer science, math, sciences, or a related degree Proven ability to design, build, and ship production-ready software, ideally around AI/ML infrastructure (Batch processing pipelines, Serving infrastructure, etc.) Strong coding skills (Python, Go, Java) 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 is a must A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features Location: This role is hybrid (3-4 days a week in