> Markdown version of [/jobs/ext/4380033-senio-software-engineer](https://www.wearedevelopers.com/jobs/ext/4380033-senio-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senio Software Engineer - **Company:** Boon Technologies, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Computer Vision, Software as a Service, Cloud Computing, Code Review, Continuous Integration, Software Debugging, DevOps, Python (Programming Language), PostgreSQL, Enterprise Messaging Systems, Open Source Technology, RabbitMQ, Large Language Models, Fastapi, Kubernetes, Production Code, Machine Learning Operations - **Published:** October 27, 2026 - **Apply:** https://startup.jobs/senio-software-engineer-boon-technologies-inc-10618682 ## About the Role * 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 ## Description 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., * 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