• Build and maintain backend services using Node.js and TypeScript • Implement APIs and business logic based on product and technical requirements. • Write clean, readable, and well-tested code. • Use AI tools daily to streamline development, debugging, refactoring, and documentation workflows without compromising quality • Work closely with other engineers in a remote-first environment, proactively communicating progress, blockers, and risks • Identify issues proactively, spotting bugs, performance bottlenecks, or architectural risks early and taking ownership of solutions.

• Design, develop, and maintain backend services using Java and Spring Boot. • Contribute to and support n-tier enterprise architectures. • Troubleshoot and resolve complex production issues in a timely and effective manner. • Work with cloud-based services, particularly within AWS environments. • Implement and support message-driven and event-based integrations using services such as SQS and data streaming tools. • Collaborate with cross-functional teams following Agile software development practices. • Contribute to CI/CD pipelines, ensuring reliable builds, deployments, and releases.

• We are looking for smart engineers who love to code, seek challenging problems, and appreciate recognition for excellent work. • As part of the Submission Processing team, you will work at the intersection of AI and backend engineering - this is core R&D work, not routine development. • Your day-to-day will involve building LLM-based solutions that process millions of insurance documents at scale, extracting precise information about companies and synthesizing it into a complete picture of the insured. • You'll collaborate with a global team of full-stack, data, ML, and DevOps engineers to build scalable backend solutions as we continue to grow.

• We are looking for smart engineers who love to code, seek challenging problems, and appreciate recognition for excellent work. • As part of the Submission Processing team, you will work at the intersection of AI and backend engineering - this is core R&D work, not routine development. • Your day-to-day will involve building LLM-based solutions that process millions of insurance documents at scale, extracting precise information about companies and synthesizing it into a complete picture of the insured. • You'll collaborate with a global team of full-stack, data, ML, and DevOps engineers to build scalable backend solutions as we continue to grow. • We're a small team where individual contributions have an outsized impact on both our technology and our business.