Product Engineering Lead – AI & Intelligent Automation (Remote Opportunity)
About the positionResponsibilities• Architect and Deliver: Design, build, and deploy scalable, AI-enabled microservices using AWS, Node.js, and Python to power healthcare platforms that handle high-volume clinical and claims data. • Accelerate Development: Use AI-assisted tools and LLM integrations (e.g., GitHub Copilot, Cursor, OpenAI, Bedrock, Claude) to reduce development time and increase code quality. • Prototype and Iterate: Rapidly develop, test, and operationalize AI-driven product ideas—such as automated claims triage, intelligent document processing, and conversational assistants—into production-ready features.• Design for Scale: Implement secure APIs, event-driven pipelines, and FHIR-based interoperability patterns supporting healthcare data exchange. • Operationalize Insights: Build APIs and pipelines that convert ML outputs into decision-ready intelligence for clinicians, payers, and operations leaders. • Lead and Mentor: Guide engineers in secure coding, scalable architecture, and AI-integrated development best practices while fostering a culture of experimentation and delivery excellence. • Observability and Reliability: Implement monitoring, logging, and automated alerting (e.g., CloudWatch, Datadog, Prometheus) to ensure system reliability and traceability of AI workflows.• Governance and Compliance: Ensure all AI-enabled components meet HIPAA, VA, and NIST security requirements, aligning with enterprise healthcare standards. • Cross-Functional Collaboration: Partner with clinicians, product managers, and compliance stakeholders to define user needs, translate them into technical designs, and ensure measurable patient and operational impact. • Continuous Improvement: Lead performance tuning, cost optimization, and technical debt reduction initiatives to maintain system quality and agility.• Reusable Frameworks: Develop and maintain shared libraries, SDKs, and automation templates that accelerate AI product delivery across EZ Labs. • Strategic Innovation: Evaluate and recommend emerging AI technologies, frameworks, and cloud services to advance EZ Labs’ modernization roadmap. Requirements• Bachelor’s Degree in Computer Science, Software Engineering, or related field. • 2+ years of software engineering experience, including at least 1 year in a leadership or technical lead role. • Strong proficiency in Python, TypeScript, and Node.js, with deep understanding of cloud-native and event-driven architectures.• Hands-on experience integrating LLMs, intelligent agents, or IDP systems into production environments. • Knowledge of Agent-to-Agent (A2A) and Model Context Protocol (MCP) frameworks. • Proven ability to design and deliver secure, scalable systems using AWS services. • Familiarity with FHIR, HL7, and X12 interoperability standards and healthcare data governance. • Experience using AI-assisted developer tools (GitHub Copilot, Cursor, etc.). • Strong communication and leadership skills with the ability to drive product vision to execution.• Eligibility to obtain a U.S. government clearance (U.S. citizenship required). Nice-to-haves• Prior experience in care coordination, claims processing, or patient engagement systems. • Practical experience operationalizing LLM-based agents or automation pipelines in production. • Background in generative AI integration within secure, regulated environments. • Experience developing microservice patterns and reusable architecture components at scale. Benefits• Medical/Dental/Vision. • 401k with Employer Match.• PTO + Federal Holidays. • Corporate Laptop. • Training Opportunities. • Remote Opportunity. Apply tot his job