
51 - 200 employees
Founded 2020
🤖 Artificial Intelligence
🏥 Healthcare
🤝 B2B
Artificial Intelligence • Healthcare • B2B
Incubyte is an engineering firm that builds production-ready AI systems and tooling for US healthtech organizations. They provide AI Product Engineering, AI Enablement, and AI Modernization services—embedding forward-deployed engineers with clients to deliver safe, compliant, and maintainable AI in regulated settings. Incubyte develops its own products and tools (Anthara, an AI conduct/runtime layer for policy-compliant code generation, and Bee, an open-source Claude Code plugin) and focuses on payer tech, provider tech (EHR integration, HIPAA compliance), and behavioral health use cases, emphasizing spec-driven development, test-driven development, and continuous delivery.
🕒 March 8
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51 - 200 employees
Founded 2020
🤖 Artificial Intelligence
🏥 Healthcare
🤝 B2B
Artificial Intelligence • Healthcare • B2B
Incubyte is an engineering firm that builds production-ready AI systems and tooling for US healthtech organizations. They provide AI Product Engineering, AI Enablement, and AI Modernization services—embedding forward-deployed engineers with clients to deliver safe, compliant, and maintainable AI in regulated settings. Incubyte develops its own products and tools (Anthara, an AI conduct/runtime layer for policy-compliant code generation, and Bee, an open-source Claude Code plugin) and focuses on payer tech, provider tech (EHR integration, HIPAA compliance), and behavioral health use cases, emphasizing spec-driven development, test-driven development, and continuous delivery.
• Own feature-level design, delivery, and quality across backend and frontend applications • Build reliable, maintainable, and testable software using clean code principles and disciplined engineering practices • Collaborate cross-functionally with engineers, designers, and stakeholders to deliver high-quality solutions • Leverage AI tools to accelerate development while maintaining engineering quality • Mentor peers and refine engineering practices • Participate in CI/CD and collaborative software development workflows • Identify potential bugs, code smells, and performance issues using AI • Apply prompt engineering techniques to improve AI-assisted development • Evaluate AI-generated code for correctness, performance, maintainability, and security • Explore and adopt emerging AI-powered tools and engineering workflows
• 3+ years of Java development experience • Strong Java fundamentals • Experience with Micronaut or Spring frameworks • Understanding of object-oriented programming, design principles, and design patterns • Knowledge of Java Collections and Multithreading • Experience with Hibernate ORM • Familiarity with Gradle or Maven • Experience writing unit tests using JUnit • Hands-on experience with Angular and TypeScript • Understanding of Angular components, state management, data binding, routing, directives, and pipes • Strong debugging and troubleshooting skills • Experience with relational databases • Experience debugging and performance tuning applications • Familiarity with Git and collaborative software development workflows • Experience with CI/CD pipelines and modern DevOps practices • Willingness to embrace AI-native development and use AI tools such as GitHub Copilot, Cursor, Augment, and Claude Code
• Twice a year, in-person co-working sprint with all travel expenses covered • Once a year, retreat with all travel expenses covered • Dedicated learning & development budget • Sponsorship for conference talks • Comprehensive medical & term insurance • Employee-friendly leave policies • Home Office fund • Medical Insurance
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