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Remote role and popular AI engineer title increase candidate density despite lesser-known startup brand.
AI platform engineering skills are transferable across industries but require ML specialization.
Specific AI platform technologies and leadership expectations create strict candidate filters.
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Lead the design and architecture of NIVA's AI platform using Google Agent Development Kit (Google ADK) and multi-agent systems.
Develop reusable AI frameworks and transition engineering team efforts from experimentation to scalable production solutions.
Collaborate with engineers, analysts, and leadership to create technology that improves healthcare delivery.
Experience with Google Agent Development Kit (Google ADK).
Technical proficiency in Python and AI tools like Gemini, Vertex AI, RAG, MCP, and Cloud Run.
Prior experience building production-ready AI applications and AI orchestration systems.
Work Experience Required: Not explicitly mentioned in the JD.
Strong systems thinking and preference for designing and implementing multi-agent AI architectures that address real business problems.
Experienced in mentoring engineers and creating scalable AI platform architectures, not just single features.
Comfortable working in a small team where architectural decisions heavily influence product direction and impact healthcare technology.