Senior Software Engineer

Pearl is shaping the future of dentistry with AI solutions aimed at enhancing quality and care for patients globally. They are seeking a Senior Software Engineer to take ownership of product development, leveraging AI tools to improve software delivery and collaborate with cross-functional teams to create impactful features. Responsibilities: Takes full ownership of a product from an engineering perspective — from architecture to deployment; Designs, builds, and scales robust backend and frontend components for our clinical product suite; Leverages AI coding tools (Cursor, Claude Code, GitHub Copilot, Gemini, and others) as a force multiplier, consistently operating at a multiple of the output of traditional development workflows; Brings a product-focused mindset to engineering work, balancing technical execution with usability, business goals, and real-world constraints to deliver impactful user experiences; Collaborates cross-functionally with ML, product, and engineering teams to develop intelligent, reliable features; Ensures high-quality software via automated testing, code review, and sound engineering practices; Stays current with the rapidly evolving AI tooling landscape and proactively shares learnings with the team; Helps define and champion AI-first engineering best practices across the organization; Build and ship features across Pearl’s clinical product suite using AI-assisted development workflows; Use tools like Cursor, Claude Code, and Gemini to accelerate code generation, debugging, documentation, and code review; Architect scalable systems that integrate with Pearl’s ML and computer vision pipelines; Drive improvements in engineering velocity and quality by identifying where AI tooling can reduce friction; Mentor teammates on effective AI-augmented development practices Qualifications: 5+ years of professional software engineering experience; Strong proficiency in backend and/or frontend development (Python, TypeScript, React, or similar); Demonstrated, hands-on experience using AI coding assistants (Cursor, Claude Code, GitHub Copilot, Gemini, etc.) in production or professional workflows; Ability to evaluate and rapidly adopt new AI tools as the ecoSenior Software Engineer Required Skills: Software Engineering, Backend Development, Frontend Development, Python, TypeScript, React, AI Coding Assistants, AI Tooling Evaluation, Scalable System Architecture, Automated Testing, Code Review, Machine Learning, Computer Vision, Data Pipelines, Product-focused mindset