VetsEZ · 3 months ago
Product Engineering Lead – AI & Intelligent Automation (Remote Opportunity)
VetsEZ is transforming healthcare delivery through technology and innovation. They are seeking a hands-on Product Engineering Lead who will leverage AI to enhance healthcare solutions, lead engineering teams, and operationalize automation capabilities.
DatabaseInformation ServicesInformation TechnologySoftware
Responsibilities
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
Qualification
Required
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)
Preferred
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.