About Tessera Labs Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding team, we build multi-agent AI systems that can automate complex business workflows across platforms like SAP, Salesforce, Workday, Snowflake, MuleSoft, and more. Our mission: Bring real AI automation to the enterprise — with speed, precision, and measurable impact. We move fast, operate with extreme ownership, and build at the frontier of applied AI.
Location: San Jose, CA or Remote
Duration: 10–12 weeks
Hours: 40 hours max per week
Start Date: June 2026
At Tessera Labs, we’re building AI-powered automation systems that streamline complex enterprise workflows. Our technology integrates with platforms like SAP, Salesforce, and Workday, and our multi-agent AI systems optimize operations at scale.
We’re looking for a Backend Engineer Intern who is eager to learn and contribute to real backend systems in a fast-paced startup environment. You’ll work alongside experienced engineers to develop APIs, support data pipelines, and help integrate AI-driven features.
What You’ll DoAssist in developing RESTful APIs and backend services using Python (FastAPI, SQLAlchemy).
Help implement and maintain database schemas, queries, and caching strategies.
Support integration of backend services with AI models and enterprise systems.
Collaborate on scalable, event-driven architectures and data pipelines.
Learn best practices for cloud deployment (AWS or GCP), observability, and security.
Currently pursuing or recently graduated with a degree in Computer Science, Engineering, or related field.
Familiarity with Python and basic backend frameworks (FastAPI, Flask, or Django).
Basic understanding of databases (PostgreSQL, MySQL, or similar) and SQL queries.
Interest in distributed systems, cloud services, and scalable backend architectures.
Strong problem-solving skills and eagerness to learn from experienced engineers.
Ability to work in a fast-paced, collaborative startup environment.
Experience with message queues, caching, or event-driven systems.
Exposure to AI/ML concepts or integrating models into applications.
Familiarity with cloud platforms (AWS, GCP, or Azure).
Understanding of API design principles and RESTful conventions.
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
- Currently pursuing or recently graduated with a degree in Computer Science, Engineering, or related field
- Familiarity with Python and basic backend frameworks
- Basic understanding of databases and SQL queries
- Interest in distributed systems and cloud services
- Strong problem-solving skills and eagerness to learn
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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