Serval
Software Engineer Intern
San Francisco · Intern · Internship
Sponsorship not specifiedDetected 9 days ago
TypeScriptPythonJavaGoReactBackend DevelopmentData StructuresAlgorithmsAWSCloud PlatformsKubernetesgRPCAgentic AICommunication
About the role
- 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.
Responsibilities
- Work closely with our CTO and founding engineering team to build and extend backend product capabilities.
- Learn how to design, implement, and test scalable systems in a production environment.
- Excitement about startups, ownership, and building products from the ground up.
- Growth: Build a fundamentally new AI product offering with the support of our experienced team and investors.
Requirements
- Currently pursuing a degree in Computer Science, Engineering, or a related technical field with an expected graduation date between Dec 2026 - 2028
- 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.
Nice to have
- Exposure to modern backend or cloud technologies (APIs, microservices, containers, or cloud platforms).
- Previous internship or project experience at a startup or fast-paced team.
Benefits
- 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.
Company info
- Serval http://serval.com 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 Fox, Notion, Perplexity, Vercel, and Brex 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.
- Serval http://serval.com is an AI-native automation platform transforming how enterprises operate.
- Founded in early 2024, Serval is already trusted by companies like Fox, Notion, Perplexity, Vercel, and Brex 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.
- Be a key player in shaping the success of our product and company.
- Join a culture that values innovation, ownership, accountability, and fun.
This listing is sourced directly from Serval's careers page and normalized into a canonical job model.