{"schemaVersion":"jobsearcher.job.v1","id":"6aa4e7d6433e0e1f478d4bfa","url":"https://jobsearcher.com/jobs/6aa4e7d6433e0e1f478d4bfa","canonicalUrl":"https://jobsearcher.com/jobs/6aa4e7d6433e0e1f478d4bfa","title":"Backend AI Engineer","description":"Backend Engineer (with DevOps Responsibilities) — AI Systems & Platform\nBrain is an early-stage startup reinventing how people interact with technology. We're building Natural OS and the Natural AI Phone — a new computing paradigm where generative AI becomes a real-time, on-device + cloud-coordinated intelligence that helps users accomplish tasks through natural conversation rather than apps.\nBacked by Laurene Powell Jobs and Goodwater Capital, we are a small, highly technical team shipping first-of-its-kind experiences. If you love solving hard problems at the edge of AI, infrastructure, and product, we'd love to meet you.\nAbout the Role\nAs a Backend Engineer with DevOps responsibilities, you will design and operate the core services that power our AI platform — including agent orchestration, personalization, real-time API pipelines, and the backend systems that support our upcoming global device launch.\nThis is a hands-on, high-ownership role where you will influence system architecture, scale production workloads, automate infrastructure, and evolve a unified backend supporting both mobile devices and cloud-based AI services. You'll work closely with ML, mobile, and systems engineers to bring generative AI into everyday user experiences.\nHow You'll Contribute\nBackend Engineering\nArchitect and implement scalable backend services that process high-volume, low-latency AI and user-intent traffic.\nDesign and maintain APIs used by Natural OS, the AI Phone, and cloud AI orchestration systems.\nWork with distributed systems, streaming pipelines, vector stores, and event-driven architectures.\nIntegrate LLM-powered features safely and efficiently (rate-limiting, prompt-pipeline design, real-time personalization, caching).\nEnsure backend reliability through automated testing, observability, and performance tuning.\nDevOps / Platform Engineering\nOwn cloud infrastructure used for device-to-cloud communication, LLM routing, metrics, and model-runtime services.\nImplement and maintain Infrastructure-as-Code (Terraform, Ansible, Docker/K8s, GKE/GCP).\nBuild CI/CD pipelines for backend and mobile releases, ensuring fast and safe iteration cycles.\nDrive system observability (logging, metrics, tracing) across both backend and device fleets.\nImprove security practices, secrets management, and compliance standards in a multi-region environment.\nParticipate in on-call rotations, incident response, and post-mortems for critical systems.\nCross-Team Collaboration\nWork closely with AI/ML engineers on model integration, inference load balancing, and data-flow design.\nCollaborate with mobile OS engineers to design reliable protocols for AI-driven interactions between device and cloud.\nInfluence long-term platform architecture and take ownership of key capabilities as we scale.\nWhat You'll Need to Succeed\nCore Skills\nStrong programming skills in one or more languages (Node.js, Go, Python preferred).\nExperience designing distributed backend systems and scalable APIs.\nProficiency with relational and non-relational databases (Postgres, MySQL, DocumentDB, Redis, vector DBs a plus).\nExperience with containerized infrastructure (Docker, Kubernetes, GKE).\nExperience with IaC tooling (Terraform, Ansible) and cloud platforms (GCP or AWS).\nFamiliarity with LLM-powered systems or interest in learning quickly (OpenAI APIs, RAG patterns, prompt pipelines, real-time AI services).\nPreferred Experience\nBuilding and operating high-traffic or real-time systems.\nExperience with observability stacks (Prometheus, Grafana, ELK, OpenTelemetry).\nExposure to edge devices, mobile backends, or hybrid device-cloud architectures.\nCI/CD pipeline design for fast-release environments.\nPerformance profiling, optimization, and cost-effective scaling of AI inference workloads.\nWho You Are\nA systems thinker who enjoys operating across backend, infra, and AI workflows.\nSomeone who learns rapidly and thrives in ambiguity.\nA collaborator who communicates clearly and cares about product impact.\nA builder excited to help launch one of the world's first AI-native phones.\nYou love solving problems, owning outcomes, and enabling teammates to succeed.\nBenefits of Working at Brain\nCompetitive salary & benefits.\nFlexible schedule, paid holidays + vacation.\nCatered lunches every Monday and a fully stocked kitchen.\nRegular off-sites and team bonding trips.\nHigh autonomy and the ability to shape foundational systems in a major product launch.\nAbout Brain Technologies\nBrain Technologies is an innovative AI startup based in San Mateo, California, founded by serial entrepreneur Jerry Yue. Our mission is to build a more natural interface between people and technology. With teams in the U.S. and Beijing, we're preparing to bring the Natural AI Phone and Natural OS to market — redefining what a computer can be.\nIf you are a Backend Engineer who wants to help build the infrastructure behind a generative-AI operating system, we'd love to hear from you.","company":"Brain Technologies","rawCompany":"brain technologies","city":"San Mateo","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-14T10:31:25.099Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Backend AI Engineer","description":"Backend Engineer (with DevOps Responsibilities) — AI Systems & Platform\nBrain is an early-stage startup reinventing how people interact with technology. We're building Natural OS and the Natural AI Phone — a new computing paradigm where generative AI becomes a real-time, on-device + cloud-coordinated intelligence that helps users accomplish tasks through natural conversation rather than apps.\nBacked by Laurene Powell Jobs and Goodwater Capital, we are a small, highly technical team shipping first-of-its-kind experiences. If you love solving hard problems at the edge of AI, infrastructure, and product, we'd love to meet you.\nAbout the Role\nAs a Backend Engineer with DevOps responsibilities, you will design and operate the core services that power our AI platform — including agent orchestration, personalization, real-time API pipelines, and the backend systems that support our upcoming global device launch.\nThis is a hands-on, high-ownership role where you will influence system architecture, scale production workloads, automate infrastructure, and evolve a unified backend supporting both mobile devices and cloud-based AI services. You'll work closely with ML, mobile, and systems engineers to bring generative AI into everyday user experiences.\nHow You'll Contribute\nBackend Engineering\nArchitect and implement scalable backend services that process high-volume, low-latency AI and user-intent traffic.\nDesign and maintain APIs used by Natural OS, the AI Phone, and cloud AI orchestration systems.\nWork with distributed systems, streaming pipelines, vector stores, and event-driven architectures.\nIntegrate LLM-powered features safely and efficiently (rate-limiting, prompt-pipeline design, real-time personalization, caching).\nEnsure backend reliability through automated testing, observability, and performance tuning.\nDevOps / Platform Engineering\nOwn cloud infrastructure used for device-to-cloud communication, LLM routing, metrics, and model-runtime services.\nImplement and maintain Infrastructure-as-Code (Terraform, Ansible, Docker/K8s, GKE/GCP).\nBuild CI/CD pipelines for backend and mobile releases, ensuring fast and safe iteration cycles.\nDrive system observability (logging, metrics, tracing) across both backend and device fleets.\nImprove security practices, secrets management, and compliance standards in a multi-region environment.\nParticipate in on-call rotations, incident response, and post-mortems for critical systems.\nCross-Team Collaboration\nWork closely with AI/ML engineers on model integration, inference load balancing, and data-flow design.\nCollaborate with mobile OS engineers to design reliable protocols for AI-driven interactions between device and cloud.\nInfluence long-term platform architecture and take ownership of key capabilities as we scale.\nWhat You'll Need to Succeed\nCore Skills\nStrong programming skills in one or more languages (Node.js, Go, Python preferred).\nExperience designing distributed backend systems and scalable APIs.\nProficiency with relational and non-relational databases (Postgres, MySQL, DocumentDB, Redis, vector DBs a plus).\nExperience with containerized infrastructure (Docker, Kubernetes, GKE).\nExperience with IaC tooling (Terraform, Ansible) and cloud platforms (GCP or AWS).\nFamiliarity with LLM-powered systems or interest in learning quickly (OpenAI APIs, RAG patterns, prompt pipelines, real-time AI services).\nPreferred Experience\nBuilding and operating high-traffic or real-time systems.\nExperience with observability stacks (Prometheus, Grafana, ELK, OpenTelemetry).\nExposure to edge devices, mobile backends, or hybrid device-cloud architectures.\nCI/CD pipeline design for fast-release environments.\nPerformance profiling, optimization, and cost-effective scaling of AI inference workloads.\nWho You Are\nA systems thinker who enjoys operating across backend, infra, and AI workflows.\nSomeone who learns rapidly and thrives in ambiguity.\nA collaborator who communicates clearly and cares about product impact.\nA builder excited to help launch one of the world's first AI-native phones.\nYou love solving problems, owning outcomes, and enabling teammates to succeed.\nBenefits of Working at Brain\nCompetitive salary & benefits.\nFlexible schedule, paid holidays + vacation.\nCatered lunches every Monday and a fully stocked kitchen.\nRegular off-sites and team bonding trips.\nHigh autonomy and the ability to shape foundational systems in a major product launch.\nAbout Brain Technologies\nBrain Technologies is an innovative AI startup based in San Mateo, California, founded by serial entrepreneur Jerry Yue. Our mission is to build a more natural interface between people and technology. With teams in the U.S. and Beijing, we're preparing to bring the Natural AI Phone and Natural OS to market — redefining what a computer can be.\nIf you are a Backend Engineer who wants to help build the infrastructure behind a generative-AI operating system, we'd love to hear from you.","datePosted":"2026-04-14T10:31:25.099Z","dateModified":"2026-04-14T10:31:25.099Z","hiringOrganization":{"@type":"Organization","name":"Brain Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Mateo","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6aa4e7d6433e0e1f478d4bfa"},"url":"https://jobsearcher.com/jobs/6aa4e7d6433e0e1f478d4bfa"}}