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United States
Remote only
Boon is the professional AI platform built specifically for construction. Founded in the San Francisco Bay Area in 2023 by product and engineering leaders from Samsara, Apple, Google and DoorDash. Boon is backed by leading Silicon Valley venture capitalists.
Our AI agents embed directly into existing workflows, from preconstruction estimating to bid management. They automate the repetitive tasks that drain time and margins while surfacing the insights leaders need to make faster and more confident decisions.
The result is measurable impact. Teams move faster, bids are submitted sooner, win rates increase, and costs are reduced. Boon enables construction companies to build more, generate more revenue, and grow with confidence.
Boon AI is building the agentic operating system for construction preconstruction — the layer that reads blueprints, specs, and bid documents, and does the estimator's work with them. Our platform spans a Rails product monolith, Python computer-vision services (DINOv3/SAM-class vision models reading drawings), an LLM agent runtime orchestrating multi-step construction workflows, and model/eval infrastructure that keeps accuracy honest. We're live with GCs and subs across the country, shipping daily, and scaling from thousands to hundreds of thousands of drawings per month.
As a Senior Software Engineer, you'll own meaningful features and services across this platform, solve challenging technical problems, and help build a system that scales with our customers.
Own features and services end to end across the Rails product app, Python ML/CV services, agent SDK layer, and data platform — balancing customer requirements, maintainability, and shipping speed
Improve the scalability, reliability, and cost efficiency of our computer vision/LLM/VLM inference pipelines as we scale blueprint throughput
Build and improve our model infrastructure, including vision model integration, LLM orchestration, agent workflows, MLflow registry, and eval harnesses
Contribute to architectural decisions, write clear design docs, and raise the engineering bar through thoughtful code review
Share knowledge and mentor teammates as the engineering team grows
Partner with product and engineering teammates to scope work, evaluate build-vs.-buy decisions, and turn customer needs into reliable software
Write and ship production code regularly, troubleshoot issues, and participate in incident response
You've shipped production systems that handle messy real-world input — documents, PDFs, images, OCR, or user-generated data
You have sound engineering judgment about when to add complexity, when to keep things simple, and when to use proven open-source or paid solutions
You've built or operated computer vision or LLM/agent systems in production, or have strong adjacent experience and want to work deeply in this space
You care about testing and evals as practical tools for improving accuracy and reliability
You move fast while keeping the foundations strong, and can recognize when a part of the system needs investment
You thrive in flat, direct, high-velocity teams where technical decisions are grounded in code, data, and customer needs
Bonus: construction, AEC, or other vertical-SaaS experience; or experience helping a product scale at a growing startup
Culturally, you embody working as “one team” and strive to “get things done,” taking ownership and helping teammates move work forward
3+ years of experience building production software, with a track record of delivering in fast-paced environments
Strong experience in at least one of: Rails or Python applications, production computer vision pipelines, LLM/agent systems, or data-intensive B2B SaaS
Hands-on experience with cloud infrastructure (AWS and/or GCP), PostgreSQL, background job or messaging systems (such as Sidekiq or RabbitMQ), and modern deployment practices
Experience owning features or services from technical design through deployment and ongoing operation
Strong coding, debugging, and code review skills, with recent experience shipping production code
Familiarity with SRE and DevOps practices, such as CI/CD, Kubernetes, or Helm, and the ability to collaborate with Boon’s dedicated SRE teammates
At Boon, we want to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate’s skills and experience, as well as market demands and internal parity. This estimate can vary based on the above mentioned factors, so the actual starting annual base salary may be above or below this range. A Boon employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company.
As an equal-opportunity employer, Boon is committed to providing employment opportunities to all individuals. All applicants for positions at Boon will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.
