Software Engineer Intern

Posted 15 Days Ago
San Francisco, CA
In-Office
Internship
Software
Serval is the AI platform for IT teams.
The Role
Contribute production backend code alongside the founding engineering team to build and extend backend services that power AI-driven automation workflows. Learn to design, implement, and test scalable systems and help ship core platform features.
Summary Generated by Built In
Who We Are

Serval is an AI-native automation platform transforming how enterprises operate. We build intelligent agents that understand real-world workflows and execute them end-to-end — replacing manual processes and rigid legacy systems with adaptive, learning software. Founded in early 2024, Serval is already trusted by companies like General Motors, Notion, Perplexity, Vercel, Mercor, LangChain, and Verkada to automate high-volume, high-friction operational work across their organizations.
At the core of Serval is an agentic AI platform that turns natural language into production-grade workflows. Our agents don’t just respond to requests — they reason, take action across systems, and continuously improve with usage. What began with operational use cases has quickly evolved into a horizontal AI automation layer used across IT, HR, Finance, Security, Legal, and Engineering.
Our mission is to eliminate repetitive, manual work across the enterprise and give teams leverage through intelligent automation. Long term, we’re building the universal AI operations layer — a system of agents that sits across business functions and runs the workflows that keep modern companies moving.
We’re backed by leading investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, Elad Gil, and others, and founded by product and engineering leaders from Verkada.

Role Overview

As a Software Engineering Intern, Backend at Serval, you’ll work directly on core parts of our platform as we build AI-powered automation for modern IT teams. This is a hands-on internship where you’ll contribute real production code, learn how an early-stage product is built, and see your work shipped to customers.

What You'll Do
  • Work closely with our CTO and founding engineering team to build and extend backend product capabilities.

  • Contribute to backend services that power Serval’s AI-driven automation workflows.

  • Learn how to design, implement, and test scalable systems in a production environment.

  • Help us move quickly toward key product milestones, including shipping and iterating on core platform features.

What You'll Need
  • Currently pursuing a degree in Computer Science, Engineering, or a related technical field with an expected graduation date between Dec 2026 - 2028

  • Strong fundamentals in computer science (data structures, algorithms, systems).

  • Familiarity with at least one backend programming language (Go, Java, Python, or similar).

  • Clear communication skills and the ability to learn quickly in a fast-moving environment.

  • Excitement about startups, ownership, and building products from the ground up.

Nice to Have
  • Exposure to modern backend or cloud technologies (APIs, microservices, containers, or cloud platforms).

  • Experience with any part of our stack: Go, gRPC, Kubernetes, React, TypeScript, AWS, or Terraform.

  • Previous internship or project experience at a startup or fast-paced team.

What We Offer
  • Impact: Be a key player in shaping the success of our product and company.

  • Growth: Build a fundamentally new AI product offering with the support of our experienced team and investors. Grow rapidly with the company.

  • Culture: Join a culture that values innovation, ownership, accountability, and fun.

Top Skills

Go
Java
Python
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The Company
HQ: San Francisco, CA
0 Employees
Year Founded: 2024

What We Do

Serval is the AI platform for IT teams, combining an AI-native ITSM with integrated workflow automation and access management.

Serval automates help desk requests, just-in-time access, onboarding/offboarding, and more with AI-powered workflows that build themselves.

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