Software Product Engineer

Description

• Design and build event-driven, data-intensive backend services in Node.js / TypeScript using Amazon Aurora (PostgreSQL), ECS, and SQS to support AI workloads at scale • Decompose complex healthcare and AI workflows into microservices architectures with clear service boundaries and data ownership • Design synchronous REST and asynchronous messaging patterns and deliver independently deployable services • Drive test-driven development across the team, including unit, integration, and contract testing • Develop AI pipelines processing structured and unstructured data for intelligent decision systems • Design and implement scalable AI-enabled systems and services for mission-critical healthcare platforms • Design cloud-native architectures and distributed systems supporting AI-driven applications • Collaborate with engineering teams, product stakeholders, and technical leadership to translate requirements and research concepts into secure, reliable, deployable solutions • Take on additional tasks and responsibilities as needed to support team objectives and project success

Requirements

• Bachelor's degree in computer science, Software Engineering, Artificial Intelligence, or a related technical discipline • 5+ years of professional software engineering experience, including significant experience designing and deploying AI-enabled systems in production environments • Strong hands-on engineering experience with React and Node.js / TypeScript, building production-grade services, REST APIs, and integrations • Hands-on experience with AI-assisted development tools such as Cursor, GitHub Copilot, OpenAI Codex, or Claude Code • Hands-on experience with AWS data and messaging services • Experience designing and developing microservices, REST APIs, and distributed systems supporting AI workloads • Demonstrated practice of test-driven development (TDD) and automated testing (unit, integration, and contract tests) • Experience implementing CI/CD pipelines, containerized deployments, and DevOps practices for scalable AI systems • Strong problem-solving abilities and experience troubleshooting complex distributed systems • Strong communication and collaboration skills with the ability to guide technical discussions and influence engineering decisions • Experience building AI solutions within regulated environments such as healthcare or federal government systems • Familiarity with FHIR, HL7, or healthcare interoperability standards • Experience with AI orchestration frameworks, agent-based architecture, or intelligent automation systems • Experience with relational data modeling and performance tuning on PostgreSQL / Amazon Aurora • Experience building asynchronous, message-driven workflows using Amazon SQS and object storage with Amazon S3 • Experience with container technologies such as Docker or Kubernetes • U.S. Citizenship is required • All selected candidates must successfully complete background check • Ability to obtain and maintain a government/public Trust clearance, including required fingerprinting, when required for the position • Sponsorship is not offered

Benefits

• Medical, Dental, and Vision Insurance • 401(k) with Employer Match • Paid Time Off (PTO) plus Federal Holidays • Corporate Laptop • Training and Professional Development Opportunities • 100% Remote Opportunity

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