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EquipmentShare Logo

Senior Software Engineer (AI Platform)

EquipmentShare

$150,000 - $175,000
Nov 14, 2025
Chicago, IL, US
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EquipmentShare is looking to transform the construction industry, which has been stagnant, by leveraging innovative technology. They need a Senior Software Engineer to build and scale their next generation of AI-powered systems, including LLM experiments and agentic frameworks, to drive real-world impact and empower contractors and communities.

Requirements

  • 7+ years of software engineering experience building production-grade systems.
  • 5+ years designing and delivering reliable, scalable services and APIs.
  • Practical experience with SaaS product development.
  • Practical experience with Machine Learning or AI product development.
  • Proficiency in a modern OOP language (Python and TypeScript preferred, open to Go, Java, Scala, or C-Sharp).
  • Familiarity with CI/CD pipelines and cloud platforms (AWS preferred).
  • A strong understanding of observability and monitoring in production systems.

Responsibilities

  • Design, build, and maintain our data, AI, and agentic platform, enabling automation and self-service for data scientists, ML engineers, and analysts.
  • Implement agentic and LLM-based systems, connecting language models with data, APIs, and services.
  • Develop reliable backend services, authentication systems, and lightweight UIs to support internal tools and AI-driven experiences.
  • Shape the technical direction of the platform through deep technical thinking, experimentation, and practical decision-making.
  • Balance the need to iterate quickly on experiments with the long-term goal of delivering scalable, production-grade solutions.
  • Collaborate with Product Managers, Designers, Engineers, and Data Scientists to take ideas from concept and experimentation through to production.
  • Mentor and coach engineers, sharing knowledge and best practices to strengthen the team.

Other

  • This position is fully remote.
  • You're a hands-on engineer who loves solving complex problems and collaborating with data scientists and engineers to turn ideas into working systems.
  • Most importantly, you care about creating meaningful impact.
  • You take ownership of outcomes from start to finish.
  • You're passionate about developing your craft — building quality, robust, and scalable systems.