Software Engineering Intern, Backend

Tessera LabsSan Jose, California

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Overview

Schedule

Full-time

Career level

Senior-level

Remote

Benefits

Career Development

Job Description

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 RemoteDuration: 10–12 weeksHours: 40 hours max per weekStart 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.

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.

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FAQs About Software Engineering Intern, Backend Jobs at Tessera Labs

What is the work location for this position at Tessera Labs?

This job at Tessera Labs is located in San Jose, California, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.

What pay range can candidates expect for this role at Tessera Labs?

Employer has not shared pay details for this role.

What employment applies to this position at Tessera Labs?

Tessera Labs lists this role as a Full-time position.

What experience level is required for this role at Tessera Labs?

Tessera Labs is looking for a candidate with "Senior-level" experience level.

Does Tessera Labs allow remote work for this role?

Yes, this position at Tessera Labs supports remote work, giving candidates the flexibility to work outside the primary office location.

What benefits are offered by Tessera Labs for this role?

Tessera Labs offers Career Development for this position. Actual benefits may vary depending on the employer's policies and employment terms.

What is the process to apply for this position at Tessera Labs?

You can apply for this role at Tessera Labs either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.