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Head of Software Engineering - AI Applications

ReBuild Manufacturing
Los Angeles, United Statesfull_timeVerifiedPosted 29 Aug 2025
💰 $240,000/yr($185,000/yr$240,000/yr)

About the role

The Opportunity

Join the team who is building an AI-powered platform to transform the $2T engineering services industry. We’re creating an intelligent operating system for engineering firms and their customers, using agentic AI to supercharge their talents and build products in hard technology spaces.

This is a ground-floor opportunity for an entrepreneurial engineering leader. You’ll create the technical foundations for a high-potential software product with the support of a parent company that is leading innovation in engineering and manufacturing.

Who We’re Looking For

You’re a builder and leader who measures success by customer impact and has developed prototype products and taken them to scale. You’ve deployed on modern frameworks and can develop software that pushes the frontier. You’re energized by solving hard customer problems, finding new ways to work, and shipping products which make people’s jobs meaningfully better.

You’ll lead our software engineering efforts and work closely with our general manager, head of product, and AI engineers. You’ll own the systems and software we deploy and build our engineering team from 1 to 8+ engineers over the next 18 months.

What You’ll Do

First 90 Days:

  • Learn the Re:Build business and establish an understanding of our companies, their customers, and how they collaborate
  • Sharpen our team development practices and the technology stacks we’ll use to scale from 10 to 100,000 users
  • Develop first prototypes of our AI-powered agents and validate them with product and pilot customers

First Year:

  • Own the entire software stack from infrastructure to user experience
  • Productionize models and agent workflows with our AI engineering team
  • Hire and grow a small but mighty team with software, devops, and mlops expertise
  • Develop software that helps us realize product-market fit and win our first 10 paying customers
  • Build systems that balance speed of iteration with long-term scalability

Core Responsibilities:

  • Architect and implement cloud-native applications using modern frameworks
  • Create robust APIs and services that power both web applications and AI agents
  • Build data pipelines and infrastructure to support AI/ML workflows
  • Establish engineering practices that allow our teams to move fast with minimal breakage and accrued technical debt
  • Collaborate with customers during regular feedback sessions to refine the product
  • Present technical strategy and progress in monthly leadership reviews

Technical Requirements

Must Have:

  • 5+ years building software products from concept to scale (10K+ users)
  • Deep expertise in full-stack web development and API design
  • Experience with cloud platforms and containerized deployments
  • Track record of leading engineering teams (3+ engineers) and technical hiring
  • Strong opinions about system design, loosely held
  • Ability to balance rapid iteration with maintainable, well-tested code

Valuable Experience:

  • Building SaaS platforms from scratch at startups or innovation labs
  • Working with LLM APIs, vector databases, and coding agents
  • Implementing real-time collaboration features and workflow automation
  • Experience in engineering, manufacturing, or B2B software markets
  • Track record of technical leadership and mentoring

Technology Stacks

You’ll have significant input on choosing our tools, frameworks, and development languages as we scale. We value pragmatic technology decisions that balance speed of development with long-term maintainability. We use GitHub, Linear, and modern AI coding assistants to increase velocity.

What We Offer

  • Real Impact: Build something that fundamentally changes how hard technology engineering gets done
  • Equity & Growth: Participation in Re:Build’s LTIP equity program and opportunity for founder equity and leadership role in potential spin-out
  • Customer Access: Direct access to hundreds of real engineering projects annually through Re:Build companies
  • Resources: Budget for tools, conferences, and team development
  • Autonomy: Backed by Re:Build but operating with startup independence
  • Learning: Work directly with customers and AI engineers leading the way
  • Benefits: Full health/dental/vision, bonus program, generous 401K, paid time off, annual learning stipend

Engineering Culture

  • Quality First: Human or AI-generated code must be well-teste

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Company

ReBuild Manufacturing

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