Software Engineering Intern (Full-Stack)

FLUIX AI is a venture-backed infrastructure software company based in the San Francisco Bay Area. We build autonomous AI systems that optimize data centers, the critical infrastructure powering the world’s communication, compute, and digital services.

Our platform, A.I.M.I.® (Artificial Intelligence for Managing Infrastructure), uses machine learning to make real-time control decisions that help facilities reduce energy waste and operate more efficiently. We work directly with data center operators and utilities to modernize infrastructure through automation, intelligence, and real-time optimization

We are seeking a Software Engineering Intern (Full-Stack) to join our team and contribute to real product development. You will work closely with engineering, product, and operations to build features across our platform, from user interfaces to backend services.

This is not a passive internship. You will work on real systems used in production environments and help build tools that support AI-driven infrastructure operations.

What you will work on :

• Build and improve user-facing dashboards and internal tools

• Develop features in our web applications (frontend + backend)

• Help integrate APIs and connect services

• Improve application performance and reliability

• Write clean, readable, and testable code

• Participate in engineering discussions and product planning

• Debug real issues in real production environments

We’re looking for:

You do not need years of experience. We’re looking for:

• Currently pursuing (or recently completed) a degree in Computer Science, Engineering, or a related field

• Comfortable with basic web development concepts

• Familiarity with React, Node.js, or Python (coursework or projects is fine)

• Understanding of basic backend concepts (APIs, databases, servers)

• Curiosity about how systems work end-to-end

• Strong willingness to learn and ask questions

• Ability to commit ~25 hours per week

• Able to work in-person in Santa Clara at least part of the week

Bonus (not required):

• Experience with Docker or Git

• Experience deploying an app using Python.

• Interest in AI, energy systems, or infrastructure

Culture fit :

• We are looking for obsessed individuals who want to give it their all.

• We are not afraid to get our hands dirty with physical and software systems.

• We are eager to visit and work with clients and understand the importance and gravitas of their mission-critical work.

• We are eager to come into the office and on-site, as our work directly affects physical environments.

• Due to our mission-critical work, we understand and our eager to help our teammates and co-workers during holidays, weekends, and emergencies.

• We are cordial and over-communicate with teammates, co-workers, and management.

What you'll gain :

• Real startup engineering experience

• Direct mentorship from senior engineers

• Exposure to AI-driven systems in production

• Experience working on mission-critical infrastructure software

• Opportunity to convert into a full-time role