Design, build, and maintain backend services and APIs for AI-driven cybersecurity products. Integrate and orchestrate LLM providers, RAG pipelines, embeddings, and vector search. Build data pipelines, manage vector databases and storage, and ensure scalability, performance, observability, and cost-efficient model usage. Handle streaming responses, rate limiting, caching, and collaborate with frontend and ML teams on architecture and code reviews.

Build responsive web interfaces for AI-driven cybersecurity products, implement chat/streaming UIs, integrate with LLM/AI APIs, optimize performance, ensure cross-device compatibility, and collaborate with designers and backend/ML teams.

Build and maintain cloud infrastructure and CI/CD for applications and ML models, manage GPU compute and model serving, containerize workloads, implement observability, automate provisioning, participate in on-call incident response, and optimize compute costs.