Software Engineer (AI/ML Infrastructure)
Posted Updated
- Glean is looking for software engineers to help build the world’s best search and assistant product for work
- Our engineers work on a range of systems across the stack, including generative AI, 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
- 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 health at scale across cloud deployments
- Write robust code that’s easy to read, maintain, and test
- Mentor more junior engineers, or learn from battle-tested ones
- Strong coding skills (Python, Go, Java)
- Proven ability to design, build, and ship production-ready software, ideally around AI/ML infrastructure (Pipelines, Serving etc)
- A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features
- BA/BS in computer science, math, sciences, or a related degree
- 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
- 2-6 years of experience
- As part of the interview process, you’ll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role