Software Engineering Intern, Backend
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 Do
- Assist 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.
What We’re Looking For
- 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.
Nice to Have
- 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.
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