? Build and scale backend systems that power AI products in production
? Design and implement APIs, services, pipelines, and core infrastructure
? Develop AI-powered backend capabilities using LLMs, agents, retrieval, and tool-based workflows
? Own reliability, deployment, observability, and performance across backend systems
? Turn ambiguous problems into fast, practical, production-ready systems
? Move quickly across backend, infrastructure, and AI implementation work as needed
Requirements: ? At least 5 years of experience building in production.
? Extensive DevOps experience, including deployment, infrastructure, containers, CI/CD, monitoring, and production operations
? Strong working knowledge of LLMs and how they behave in real systems
? Experience building with LLM APIs, agent workflows, prompt systems, retrieval pipelines, and structured outputs
? Ability to build basic to moderately complex AI agents and backend systems around them
? Strong architecture instincts across services, queues, databases, caching, async jobs, and system design
? Strong coding ability and very high engineering velocity
? Ability to move fast without sacrificing quality, reliability, or maintainability
? Deep problem-solving ability and strong engineering judgment
This position is open to all candidates.