[VMT] Platform AI Software Engineer
Core
Building core systems, infrastructure, and reliability for an AI-powered product by diagnosing performance issues and enhancing AI agent reliability.
Role type
Senior Platform AI Software Engineer
Builds
AI-powered product core systems and infrastructure
Domain
AI Systems / Infrastructure / Platform Engineering
Deliverable
production ML models | infrastructure
Required skills
Python (backend/systems), distributed systems, system performance diagnosis, LLM-based systems, AI agents, software architecture, scalability, code quality improvement, computer science fundamentals, independent operation
Preferred skills
observability (logging/tracing/monitoring), platform engineering, cloud environments (GCP/AWS/Azure), containerization (Docker), CI/CD pipelines, early-stage startup experience
Technologies
Python, GCP, AWS, Azure, Docker
Responsibilities
Diagnose and resolve cross-cutting technical issues affecting system performance and reliability; Improve platform-wide observability, monitoring, and debugging capabilities; Investigate AI agent behavior and improve output quality through structured evaluation and iteration; Refactor and enhance legacy or complex code to improve scalability and maintainability; Identify architectural bottlenecks and implement system-wide improvements; Operate proactively, identifying and solving problems before they are formally scoped
Seniority
Senior, hands-on IC
