Glean WorkSoftware Engineer, Intern (Summer 2027)
Glean Work is hiring a Software Engineer, Intern (Summer 2027) in Mountain View, United States. It pays $57-$69/hr and Level rates it ; you can apply on Glean Work.
Level's read on this job
- On Level's scale, this software engineer role is Builds AI ●●●●: the job is building AI systems.
- The posting mentions Python, Git and AI agents among its tools and skills.
- Level classes it as an internship.
- Glean Work has 132 other open roles on Level.
- Posted within the past week.
AI in this role
Design and build enterprise AI agents and search infrastructure as a software engineering intern.
- Own a scoped, high-impact project end to end - from defining the problem and writing a design, to building, testing, launching, and measuring outcomes
- Ship production-quality code that is reliable, well-tested, and maintainable, with thoughtful code reviews and iterative feedback
- Learn quickly and contribute across the stack based on your interests - backend services, product engineering, ML/AI/search, infrastructure, security, and more
- Work closely with people both within and beyond your team while having fun along the way
About you:
- Graduating in Fall 2027 or Spring 2028 with a B.S., M.S. or Ph.D. in Computer Science or equivalent program
- A team player, a strong desire to learn, and an owner mentality
- Comfortable working in a fast paced, data-driven environment
- Interested in something in the realm of Backend, Infrastructure, Security, UI/full-stack, or ML/NLP/Search
- Prior internship experience in one or more of the areas above
- Strong foundation in CS and software development fundamentals
Location:
- This role is hybrid (4 days a week in our Mountain View or San Francisco office)
Compensation & Benefits:
The hourly pay range for this position is $57 - $69. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
#LI-HYBRID
AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. 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. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.
How we rate this
Software Engineer, Intern (Summer 2027) at Glean Work rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $167k
Use the typical software engineer figure as a reference when pay comes up. See software engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where backend was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, NLP, Software Engineering, Backend, and Distributed Systems. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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