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Engineering Manager - Healthcare AI at Steer Health. We are seeking a . hands-on Engineering Manager with Healthcare AI experience. to lead and scale a cross-functional engineering team comprising Developers, QA Engineers, and Data Engineers.. This role requires a strong technical leader who understands . AI-driven healthcare platforms. , clinical workflows, integrations with health systems, and enterprise SaaS environments. You will drive architecture, integrations, AI-powered product development, and large-scale implementations while actively contributing to design and engineering decisions.. The ideal candidate blends . people leadership with deep technical expertise in healthcare AI systems. capable of mentoring engineers, improving delivery velocity, and personally contributing to complex AI-driven integrations and deployments.. Key Responsibilities. Engineering Leadership & Team Management. 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. Healthcare AI & Technical Execution. 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. Integrations & Implementation. 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. Engineering Operations. Improve CI/CD pipelines and DevOps collaboration. Establish QA automation standards. Enforce architecture governance and documentation standards. Ensure data integrity, system security, and scalability. Required Qualifications. 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). Key Competencies. Strong architectural thinking in AI-driven systems. Ability to balance hands-on execution with leadership. Deep understanding of healthcare technology ecosystems. Ownership mindset and accountability for delivery. Comfort operating in fast-paced, scaling environments. Ability to work with global stakeholders. What We’re Specifically Looking For. Candidates from:. Healthcare AI companies. Voice AI / Conversational AI platforms. Clinical workflow automation platforms. Health system integration companies. AI-powered SaaS companies serving providers. Company Location: India.