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Software Engineer Intern

Remote / Online - Candidates ideally in
San Francisco, San Francisco County, California, 94199, USA
Listing for: Fluo
Apprenticeship/Internship, Remote/Work from Home position
Listed on 2026-07-03
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 70000 - 90000 USD Yearly USD 70000.00 90000.00 YEAR
Job Description & How to Apply Below

About Fluo Money

Fluo is an all-in-one student app designed to simplify the lives of students—international and local—by streamlining financial management and life essentials in a new city. With a multi-currency digital wallet, a physical card, low-cost transfers, and a rewards system called Fluo Coins, Fluo helps students manage their money, secure housing, and achieve important life milestones. The platform also includes tools for housing support, career matching, and community building—so students can flow, grow, and belong.

Software

Engineer Intern

As a Software Engineer Intern at Fluo Money, you’ll help build the AI-powered foundation behind Fluo’s products and internal systems. You’ll work on AI capabilities, machine learning workflows, data infrastructure, and scalable engineering systems that power intelligent financial and student experiences.

This is a hybrid role based in San Francisco, CA, with the option for remote work. You’ll collaborate closely with product, engineering, and data teams to design, build, and deploy reliable AI-driven solutions while maintaining high standards for scalability, security, and performance.

What You’ll Do
  • Build and improve AI-powered features, including intelligent assistants, automation workflows, and recommendation systems.
  • Develop and maintain machine learning pipelines, data processing workflows, and model integration systems.
  • Work with AI/ML frameworks and APIs to integrate large language models (LLMs), agents, and AI services into Fluo products.
  • Design and build scalable infrastructure for AI workloads, including cloud environments, deployment pipelines, and monitoring systems.
  • Develop backend services and APIs that support AI systems, data processing, and platform capabilities.
  • Work with databases, data models, and analytics pipelines to support machine learning and AI-driven insights.
What You’ll Work With (Tech Stack)
  • Python, ML frameworks, AI APIs, LLMs, AI agents
  • Model integration, prompt engineering, evaluation workflows
  • Data processing and automation pipelines
  • Node.js, NestJS, REST APIs, GraphQL
  • Distributed systems and scalable architecture
  • PostgreSQL, Supabase, Firebase
  • Docker, serverless computing
  • Cloud infrastructure, CI/CD, Terraform
  • AWS, Azure, Vercel
  • Payment APIs
  • Authentication systems
  • Blockchain and cryptocurrency concepts (bonus)
Explore Fluo
  • Website:
  • Android:
  • iOS:
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