StealthAI builds āinvisibleā AI layers that embed into enterprise systems without exposing sensitive data.
Its models operate under strict privacy constraints using encrypted and federated inference pipelines.
Designed for sectors like finance and healthcare, StealthAI enables secure AI integration with zero data leakage.
Key Responsibilities
Build and maintain backend services, including scalable APIs (REST/gRPC), fault-tolerant systems, and clean, testable code.
Optimize data storage and retrieval across relational (Postgres/MySQL) and NoSQL (Cassandra/Scylla DB) databases, including schema design, query tuning, and caching.
Ensure robust observability with metrics, logs, and traces while delivering backward-compatible, reliable releases.
Contribute to architecture design, resolve scaling and latency bottlenecks, and drive improvements in performance and reliability.
Collaborate with cross-functional teams to integrate AI models into production and define data contracts with frontend/product teams.
Partner with DevOps for smooth deployments and system monitoring.
Mentor peers and advocate best practices in coding, testing, and design.
You are pre-screened
Team Round1's take
StealthAIās deployment is zero-disruption ā install it once and it runs invisibly within enterprise environments.
Delivers explainable, privacy-preserving AI insights across sectors handling sensitive data.
Early pilots with financial and healthcare partners report 20ā30% uplift in accuracy while maintaining compliance.