Lead, mentor, and grow a team of Developers, QA Engineers, and Data Engineers
Drive sprint planning, delivery tracking, and engineering best practices
Conduct performance reviews, hiring, and team development
Foster a culture of accountability, quality, and high ownership
Ensure cross-functional alignment with Product, AI, Operations, and Leadership
Design scalable system architecture for AI-powered healthcare products
Contribute hands-on to development of complex features, integrations, and AI workflows
Lead API integrations with EHR/EMR systems, third-party SaaS tools, and healthcare platforms
Oversee deployment of AI-driven solutions (voice AI, automation, analytics, orchestration)
Ensure secure, compliant data handling aligned with healthcare standards
Optimize performance for AI pipelines and real-time systems
Troubleshoot high-impact production issues
Drive enterprise healthcare customer implementations
Oversee integration with clinical systems (FHIR, HL7, APIs, webhooks, data syncs)
Partner with US-based clients during implementation cycles
Ensure high reliability in external system integrations
Manage release planning and deployment risk mitigation
Improve CI/CD pipelines and DevOps collaboration
Establish QA automation standards
Enforce architecture governance and documentation standards
Ensure data integrity, system security, and scalability

12+ years of software engineering experience
5+ years in engineering leadership or team management
Strong hands-on coding experience (Node.js, Python, Java, .NET, or similar)
Direct experience building Healthcare AI, clinical AI, or AI-driven SaaS platforms
Experience integrating with healthcare systems (EHR/EMR, HL7, FHIR, APIs)
Strong experience in enterprise API integrations and third-party implementations
Experience with cloud platforms (AWS / Azure / GCP)
Understanding of data engineering concepts (ETL, pipelines, warehousing)
Experience working in Agile/Scrum environments

Highly Preferred

Experience in Healthcare AI, Voice AI, Clinical Decision Support, or Automation platforms
Experience building AI-powered SaaS products serving health systems
Exposure to HIPAA-compliant environments
Experience scaling engineering teams in growth-stage startups
Experience working with US healthcare clients
Exposure to data platforms (Snowflake, Redshift, BigQuery)

Engineering Manager – Healthcare AI

Key skills