Senior Software Engineer - AI Integrations

What You'll Do

• Design and implement complex integration solutions between our platform and third-party healthcare systems (EHRs, insurance providers, etc.) while ensuring high performance, reliability, and scalability.
• Utilize the latest developments in LLM technology to automate the reverse-engineering of electronic health records.
• Collaborate with cross-functional teams (product, engineering, and healthcare) to gather integration requirements, define technical approaches, and prioritize tasks based on business needs.
• Contribute to the technical direction of the integration platform by proposing and implementing improvements to architecture, tools, and technologies.
• Take ownership of end-to-end integration workflows, from design and development through to deployment and post-launch monitoring.
• Identify and resolve performance bottlenecks, troubleshoot integration issues, and proactively improve the reliability of integrations in production environments.
• Ensure all integration work adheres to healthcare compliance and security standards (e.g., HIPAA, HL7, FHIR) and collaborate with security teams to protect sensitive data.
• Work closely with junior engineers to provide technical guidance and mentorship, helping them solve problems and ensuring high-quality code standards are followed.
• Drive the implementation of best practices for integration development, including testing, error handling, version control, and continuous integration.
• Collaborate with DevOps and QA teams to implement monitoring and alerting systems that ensure integration reliability and system health in production.
• Stay up-to-date with industry trends in healthcare technology, integration patterns, and emerging tools, continuously suggesting and applying innovations that can improve system performance and integration capabilities.
• Participate in agile development cycles, contributing to sprint planning, retrospectives, and maintaining a collaborative and efficient working environment.

What You Have

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent extensive experience
• Professional software development industry experience
• Proficiency in frontend languages like Javascript, HTML, CSS
• Proficiency in backend languages like Python, Go, or C++
• Experience including but not limited to Git, GCP / AWS, Docker, Kubernetes, relational and non-relational DBs, and monitoring/alerting tools
• Proven track record of designing and implementing end-to-end solutions and making successful architectural decisions
• Excellent communication and collaboration skills, with the ability to work in a fast-paced, dynamic environment.