Glean
Software Engineer, AI Infrastructure
1mo ago
USAaiinfrastructure
Engineering role focused on AI infrastructure within an enterprise Work AI platform.
Other
- 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
- 2-5 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, LLM orchestration 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
- This role is hybrid (3-4 days a week in our Mountain View office)