Build and maintain internal platforms and tooling for AI engineers, including React and Next.js dashboards, Python backend services, REST APIs, model deployment automation, observability integrations, and ML pipeline testing. Partner with engineering and ML teams to improve developer experience, production AI reliability, and self-service workflows while documenting systems and runbooks.

Develop end-to-end AI-powered applications, including React/Next.js interfaces, Python or Node.js backend services, APIs, and agentic workflows. Integrate LLM APIs and real-time streaming experiences, design scalable systems, write comprehensive tests, participate in code reviews and on-call support, and contribute to architecture. Collaborate with designers, product managers, and ML engineers to deliver customer-facing products.

Lead the technical vision and roadmap for the company's AI platform: design model-serving, feature stores, experiment tracking, CI/CD for ML, optimize GPU/compute, improve observability, ensure reliability, and mentor senior engineers to enable scalable, safe LLM inference in production.