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Role description

Laminar | Technical Intern

Laminar logoLaminarYC F24
AI-native
TypeFull-time
WorkplaceOn-site
SeniorityIntern
LocationSan Francisco, CA
Posted8/31/2026
Engineering

Laminar | Technical Intern

About Laminar

Laminar (formerly SRE.ai) is an early-stage, AI-native startup on a mission to bring enterprise systems delivery without the turbulence. We build AI agents that automate Salesforce DevOps, giving organizations customized, executable workflows in place of slow, manual processes.

We're an ex-Google-led team, remote-first, with people across California, the UK, Spain, and India. Salesforce Ventures led our seed round, and we're well funded heading into our Series A. Our client roster includes McKesson, and we recently signed OpenAI.

We run flat. There's no middle management, and all of our engineers carry the title Member of Technical Staff. As an intern here, you'll work directly with the people building the product.

About the Role

As a Technical Intern, you'll work alongside our engineering team on real, shipped work. This isn't a shadow-and-observe internship. You'll write code that ships, learn our stack, and see firsthand how a fast-moving AI startup operates.

What You'll Need

  • Currently pursuing a BS or MS in Computer Science, Software Engineering, or a related technical field.

Nice to Have

  • Experience writing code in JavaScript/React, Python, or Go.

  • Hands-on experience building personal or research projects.

  • Familiarity with Git and standard CI/CD pipelines.

  • Understanding of relational database design and basic web application architecture.

  • Exposure to cloud infrastructure (e.g., AWS) and container orchestration (e.g., Kubernetes).

  • Experience using AI coding assistants, such as Claude, to develop and review software.

We don't expect every applicant to check every box. If the work excites you, apply anyway.

Relevant archetypes

Apply on Ashby
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Company info

Laminar logo

Laminar

Enterprise systems delivery without the turbulence.

SeedYC F24
HQSan Francisco, US
Size15 employees
Funding
  • Seed · Aug 20, 2025
Unlock human wisdom
ThesisTermsPrivacy
Tech stack
python, claude-by-anthropic, ashby, javascript, golang, react, amazon-web-services, kubernetes

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