Lead Backend Engineer - AI

Responsibilities:
Build and Ship AI Infrastructure: Develop and deploy core components of our AI platform, turning architectural blueprints into scalable, production-ready healthcare applications.
Integrate Cutting-Edge AI Tools: Work directly with vector databases, LLM orchestration frameworks, and RAG pipelines to build features that directly impact patients and doctors.
Drive High-Velocity Execution: Push the boundaries of engineering speed and quality by fully integrating AI coding assistants into your daily workflow to ship end-to-end applications from scratch.
Requirements:
Strong Backend Foundation (5+ Years): You are a highly capable software engineer with a proven track record of building and maintaining robust backend services and APIs.
You have hands-on experience with core backend technologies, including microservices, Kubernetes, Kafka, gRPC, etc. and you deeply understand scale and performance.
A Pure Builder (100% IC): You love writing code and want to remain a hands-on builder. You take pride in shipping clean, efficient, and well-tested software without the desire to move into people management.
The AI-Augmented Developer: You are actively using tools like Claude Code, GitHub Copilot, or Cursor to multiply your output. You see AI as a crucial tool for modern software engineering.
AI Ecosystem Familiarity: You have practical experience with or a strong foundational understanding of modern AI tools (Agentic AI, LLMs, prompt engineering, vector search, embeddings). You are eager to go deeper into AI infrastructure.
High Agency and Extreme Resourcefulness: You operate with a growth mindset and thrive in a fast-paced, startup-like environment. You take ownership of your features from inception to deployment and figure out how to unblock yourself.

Experience
5-7 yrs