Teams at Boon (getboon.ai)

Owns end-to-end features and services across Rails, Python machine-learning services, agent infrastructure, and data platforms. Improves the scalability, reliability, and cost efficiency of computer vision and LLM inference pipelines; builds model infrastructure, orchestration, and evaluation systems; contributes to architecture and code reviews; mentors teammates; ships production code; and participates in troubleshooting and incident response.

Owns end-to-end technical architecture across Rails, Python machine-learning services, agent infrastructure, and data platforms. Leads scalability, reliability, cost optimization, model infrastructure, architectural reviews, technical roadmap decisions, incident response, code reviews, and engineering mentorship. The role remains hands-on, requiring production coding and expertise in computer vision, LLM systems, cloud infrastructure, databases, background jobs, Kubernetes, and DevOps practices.

As a Computer Vision Applied Research Scientist, you'll design novel architectures for understanding construction drawings, conduct end-to-end experiments, and transition models to production. You'll collaborate with others to improve accuracy and address real-world issues in AI applications for construction.