الوصف الوظيفي
You're probably not looking for another job.
You're looking for a problem worth solving.
At NIVA Health, we're building AI that isn't designed to write emails or answer trivia.
We're building intelligent systems that help transform healthcare.
We're looking for someone who gets excited by designing production-ready AI, building multi-agent systems, and creating technology that people rely on every day.
If you've been waiting for an opportunity to build something from the ground up instead of maintaining someone else's architecture, keep reading.
Here's what you'll be building.
You'll lead the design of NIVA's AI platform.
That means architecting intelligent agents using Google Agent Development Kit (Google ADK), designing multi-agent systems, building reusable AI frameworks, and helping our engineering team move from experimentation to production.
You'll work closely with engineers, analysts and leadership to turn ambitious ideas into scalable solutions that genuinely improve the way healthcare is delivered.
You'll probably enjoy this role if you: Think in systems, not just code.
Love building agentic AI that actually solves business problems.
Get excited by Google ADK, Gemini, Vertex AI and modern AI engineering.
Enjoy mentoring engineers and raising technical standards.
Like creating architecture that other engineers love building on.
Prefer building something meaningful over maintaining the status quo.
We'd love to talk if you have experience with: Google Agent Development Kit (Google ADK) Multi-agent AI architectures Gemini & Vertex AI Python RAG MCP (Model Context Protocol) Cloud Run AI orchestration and tool calling Building production AI applications Why NIVA?
You'll join a small team where your decisions will shape the future of our AI platform—not one feature, but the architecture behind everything we build.
If that sounds like the kind of challenge you've been looking for, we'd love to hear from you.
لقد تمت ترجمة هذا الإعلان الوظيفي بواسطة الذكاء الاصطناعي وقد يحتوي على بعض الاختلافات أو الأخطاء البسيطة.
