
SaaS • Construction
CompanyCam is a software platform designed specifically for contractors to manage their job site documentation. It provides tools for photo and video capture, annotations, in-app communications, and collaborative features that allow teams to document and track job progress in real-time. The platform supports integrations with other software and offers AI-powered actions to generate reports and organize information. CompanyCam is widely used across various trades, helping professionals keep projects organized, maintain accountability, and effectively communicate with teams and clients.
October 22

SaaS • Construction
CompanyCam is a software platform designed specifically for contractors to manage their job site documentation. It provides tools for photo and video capture, annotations, in-app communications, and collaborative features that allow teams to document and track job progress in real-time. The platform supports integrations with other software and offers AI-powered actions to generate reports and organize information. CompanyCam is widely used across various trades, helping professionals keep projects organized, maintain accountability, and effectively communicate with teams and clients.
• Design, implement, and deliver complex, cross-cutting features and systems using Ruby on Rails, React, React Native, Postgres, and REST. • Lead development of product features powered by large language models (LLMs) and agentic systems, integrating intelligent automation into user workflows. • Architect and scale AI-driven systems using techniques like prompt engineering, retrieval-augmented generation (RAG), and workflow orchestration. • Proactively identify and resolve technical debt, improve reliability, and evolve system architecture to support scalable AI integration. • Lead by example in code reviews, mentoring others, and sharing best practices for integrating and evaluating AI-enabled features. • Partner closely with product managers, designers, and engineers to shape feature direction, translate ambiguous ideas into technical plans, and deliver high-quality work. • Drive improvements to internal tooling, CI/CD pipelines, and observability for AI systems and model performance. • Develop, maintain, and automate evals to rigorously measure and improve the reliability and reasoning quality of agentic systems.
• 5+ years of professional experience as a software engineer. • 1–3 years of experience designing or implementing features that leverage large language models (LLMs), AI agents, or automation frameworks. • Experience contributing across the full stack, including front-end, back-end, and data layers. • Advanced proficiency in Ruby on Rails and PostgreSQL or React/React Native and Redux. • Strong communication and collaboration skills, with the ability to clearly explain technical concepts to non-technical stakeholders. • You live and work permanently in the U.S. (We’re not set up to hire outside the U.S.).
• Meaningful equity • Health insurance • Retirement plans
Apply NowOctober 22
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