Software Engineer (AI)

TL;DR

Software Engineer (AI/Fullstack): Building a scalable Work AI platform and enterprise search solutions with an accent on distributed systems, data pipelines, and agentic capabilities. Focus on designing fault-tolerant architectures, implementing secure search indices, and developing high-quality user interfaces.

Location: Mountain View, CA (Telecommuting is an option)

Salary: $187,741 - $234,000 per year

Company

Glean is a Work AI platform providing advanced enterprise search, AI assistants, and scalable AI agents to help organizations govern and customize AI across their business.

What you will do

• Develop and scale a software platform for enterprise search solutions.
• Build large-scale, fault-tolerant distributed systems on Linux-based systems.
• Design and implement data ingestion pipelines and secure search indices.
• Create user interfaces for enterprise content search and design associated APIs.
• Collaborate with product teams to ensure features satisfy customer requirements and are delivered with high quality.
• Conduct thorough code reviews focusing on interface design, code quality, and testing strategies.

Requirements

• Master's degree in Computer Science, Engineering, or a related quantitative discipline.
• Experience with Go or C++, Java, Python, and TypeScript.
• Background in distributed systems, cloud-native applications, or full-stack development.
• Strong algorithmic design skills and experience with data analytics.
• Experience with Node, React, and web frameworks such as Ruby on Rails, Django, or Flask.
• Must be based in or able to work in the US (Mountain View, CA).

Culture & Benefits

• Competitive salary with 401k plan contributions.
• Comprehensive Medical, Vision, and Dental coverage.
• Home office improvement stipend and annual education and wellness stipends.
• Generous time-off policy and daily healthy lunches.
• Inclusive company culture with regular team events.

Hiring process

• An AI-focused exercise or discussion as part of the interview process to evaluate AI design and usage.