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Careers /

Software Engineer

Software Engineer

Company information

Muir AI is building the Product Intelligence Platform – empowering companies to understand how their products are made, what they cost, and how they impact the environment. By combining AI with deep supply chain data, we give teams instant visibility into product cost drivers and carbon footprint, enabling faster, smarter decisions.

With being a part of Muir you will have access to our medical, dental, vision, 401k, PTO and commuter benefits.

Role description

We’re looking for a full stack Software Engineer to help us build and scale our core platform. You’ll work across the stack developing everything from frontend components to backend services and infrastructure. As part of a small, high-performing team, you’ll take on meaningful technical ownership, contribute to foundational systems, and help shape the future of a category-defining product.

Salary Band: $110,000 - $165,000

Responsibilities

  • Design and build scalable, high-quality web applications and services across the stack
  • Develop APIs and backend systems that power our customer-facing features and internal tools
  • Contribute to infrastructure and tooling that supports continuous deployment, monitoring, and scalability
  • Collaborate closely with engineers, data scientists, and product leaders to iterate quickly and deliver impactful features
  • Help define and implement engineering best practices as we grow

Qualifications

  • 3+ years of professional software engineering experience
  • Experience with full stack development—ideally with technologies like Python, React, and AWS
  • Strong backend and API development skills
  • Familiarity with modern infrastructure and DevOps practices (CI/CD, monitoring, etc.)
  • Comfort working in fast-paced, early-stage environments
  • Strong communication and problem-solving skills
  • Based in or willing to relocate to the Seattle area
  • Previous experience at a startup or in an early engineering team (not required, but a plus)
  • Familiarity with manufacturing, supply chain, or climate-related data (not required, but a plus)

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