Software Engineering Intern, Full Stack

Posted 9 Days Ago
Be an Early Applicant
San Jose, San José, CRI
In-Office
40K-45K Annually
Internship
Artificial Intelligence • Information Technology • Software
The Role
Build full-stack product features for an AI-agent platform using React, TypeScript, and/or Python. Develop interfaces, APIs, data models, and backend services; make agents understandable and controllable; integrate enterprise data from systems such as SAP, Salesforce, and Oracle; and collaborate with product and design to shape and ship solutions. The internship lasts 10–12 weeks and may focus on frontend, backend, or both.
Summary Generated by Built In

About Tessera Labs

Tessera Labs is redefining how enterprises adop and operationalize Artificial Intelligence. Backed by Foundation and with a recent $60M Series A led by Andreessen Horowitz (a16z), we build multi-agent AI Systems that automate complex business workflows across platforms like SAP, Salesforce, Workday, Snowflake, Databricks and more.

Our mission: bring real AI automation to the enterprise - with speed and precision and measurable impact. We move fast, operate with extreme ownership, and build at the frontier of applied AI.

About the role

We're hiring a Full Stack Software Engineering Intern to help build Tessera Mosaic, where AI agents work alongside people to transform how enterprises operate. You'll help drive product problems end to end, from interfaces for understanding and controlling agents to the data and backend systems that power them.

You'll work closely with product and design, with real ownership over what we build and how we build it. If you enjoy turning ambiguous problems into polished products, you can have an outsized impact on a platform that's still early. You can lean toward frontend or backend depending on your preference, or do both.

What you'll do

  • Build product features in React and TypeScript on the frontend and/or Python on the backend, including APIs, data models, and services.

  • Take problems from a rough starting point to shipped: figure out what's actually being asked, dig into the data and code, propose an approach, and build it.

  • Build the tools that make AI agents understandable and controllable for the people using them: seeing what an agent is doing, reviewing its work, and stepping in when needed.

  • Work with data from systems like SAP, Salesforce, and Oracle, including their complex data models and real-world edge cases.

  • Partner with product and design to question assumptions, shape solutions, get feedback early, and iterate.

What we're looking for

  • Strong product sense. You think about the people using what you build and have ideas about how to make it better, whether you're working on the frontend or the backend.

  • Experience building software, through class projects, side projects, or a previous internship. Any language is fine.

  • You learn quickly and can make progress on a problem without being told exactly what to do. We care far more about how fast you're growing than where you're starting.

  • Some comfort with data, like SQL and how tables relate to each other, and a willingness to learn whatever a feature needs, from the database to the UI.

  • You explain your thinking clearly and ask questions early.

  • Proactively ask for help when blocked and communicate openly about challenges.

Nice to have

  • You've built something with LLMs or agents.

  • Familiarity with React, TypeScript, or Python, which make up most of our stack.

Location: San Jose, CA, New York or Remote (U.S.)

Duration: 10–12 weeks

Hours: Up to 40 hours per week

Start Date: Fall 2026/Spring 2027/Summer 2027 (flexible)

Tessera Labs is an equal opportunity employer and welcomes candidates from all backgrounds and experiences.

 

No third party may recruit, solicit candidates, publish job opportunities, use Tessera Labs’ name or branding, or represent that they are acting on behalf of Tessera Labs without prior written authorization. Any such activity conducted without explicit written consent is strictly prohibited.

 

Skills Required

  • Experience building software through class projects, side projects, or a previous internship
  • Strong product sense and consideration for end users
  • Ability to learn quickly and make progress independently on ambiguous problems
  • Some comfort with data, SQL, and relational table structures
  • Clear communication and ability to explain technical thinking
  • Proactively ask for help when blocked and communicate openly about challenges
  • Familiarity with React, TypeScript, or Python
  • Experience building applications with LLMs or AI agents
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The Company
HQ: San Jose, California
48 Employees
Year Founded: 2024

What We Do

Enterprise transformations shouldn't take years or cost fortunes. At Tessera, we've built a multi-agent AI platform that cuts ERP transformation timelines from years to weeks and reduces costs by more than half—while delivering first-time-right outcomes with enterprise-grade security and governance. We combine the dependability of a trusted integrator with the speed of an AI innovator. Our vendor-agnostic platform is pre-trained on thousands of enterprise landscapes and hundreds of years of expertise, so it adapts to your environment from day one—harmonizing systems and data to deliver secure, governed execution across ERP and other critical systems. Unlike traditional system integrators, ERP vendor tools, AI point solutions, or in-house builds, Tessera delivers transformations that compress timelines by 90%, replace people-heavy manual work with intelligent automation, ensure systems and data harmonize correctly from the start, and avoid vendor lock-in through adaptive intelligence that evolves with your workflows. Tessera creates lasting change in how your processes and systems operate together. As the platform adapts to your environment and evolves with new data, you gain the confidence to modernize with less risk—freeing up resources to reinvest in growth rather than maintaining legacy complexity. Proven in regulated industries. Built for enterprise reality. Reshaping how organizations transform.

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