{"schemaVersion":"jobsearcher.job.v1","id":"17f9fe3cce7c36be7058eb44","url":"https://jobsearcher.com/jobs/17f9fe3cce7c36be7058eb44","canonicalUrl":"https://jobsearcher.com/jobs/17f9fe3cce7c36be7058eb44","title":"Backend Engineer","description":"Senior Backend Engineer – AI / ML Infrastructure (Remote)\r\nThe Opportunity\r\nWe’re partnering with a high-growth AI infrastructure company building a market-leading ML observability platform used by some of the most advanced engineering teams in the world.The Backend Engineering team is responsible for highly scalable, distributed systems that power real-time analytics, model evaluation, and LLM monitoring at massive scale. While Go is the primary language, the platform also includes services written in Python, Java, and TypeScript.This is a role for engineers who enjoy hard problems: distributed systems, OLAP architectures, real-time data pipelines, and AI-native tooling. You’ll be part of a core product team shaping how modern ML and LLM-powered applications are built, evaluated, and monitored in production.What You’ll Be BuildingCore backend services powering a high-scale AI observability platformDistributed analytics systems built primarily in Go (with Python, Java, and TypeScript in the mix)APIs and infrastructure designed specifically for ML and LLM workflowsReal-time data pipelines handling massive throughputOpen-source extensions to OLAP databases and messaging systemsTooling that helps teams understand, debug, and improve AI systems in productionInternal AI agents that help power and scale the productYou’ll work closely with product, design, and directly with customer engineering teamsWhat We’re Looking For5+ years building backend or infrastructure systems that actually run in productionStrong experience in Go, Python, Java, TypeScript/Node , or similarComfort operating in fast-moving, low-bureaucracy environmentsExperience with cloud infrastructure and containers (AWS/GCP/Azure, Kubernetes)Curiosity and genuine excitement about AI, LLMs, and what’s coming nextBonus PointsDistributed streaming systems (Kafka or similar)OLAP or analytics-heavy systemsObservability tooling (Prometheus, etc.)ML / data science exposureHands-on experience building or shipping LLM-powered productsComp & Perks$125k – $225k base + meaningful equityMedical, dental, vision, 401(k)Unlimited PTOGenerous parental leaveMental health & wellness supportHow We WorkRemote-first, async-friendly cultureOptional offices in NYC and the SF Bay AreaApply below if you're interested!#J-18808-Ljbffr","company":"Space Executive","rawCompany":"space executive","city":"Berkeley","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-02T05:30:07.274Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-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 Engineer","description":"Senior Backend Engineer – AI / ML Infrastructure (Remote)\r\nThe Opportunity\r\nWe’re partnering with a high-growth AI infrastructure company building a market-leading ML observability platform used by some of the most advanced engineering teams in the world.The Backend Engineering team is responsible for highly scalable, distributed systems that power real-time analytics, model evaluation, and LLM monitoring at massive scale. While Go is the primary language, the platform also includes services written in Python, Java, and TypeScript.This is a role for engineers who enjoy hard problems: distributed systems, OLAP architectures, real-time data pipelines, and AI-native tooling. You’ll be part of a core product team shaping how modern ML and LLM-powered applications are built, evaluated, and monitored in production.What You’ll Be BuildingCore backend services powering a high-scale AI observability platformDistributed analytics systems built primarily in Go (with Python, Java, and TypeScript in the mix)APIs and infrastructure designed specifically for ML and LLM workflowsReal-time data pipelines handling massive throughputOpen-source extensions to OLAP databases and messaging systemsTooling that helps teams understand, debug, and improve AI systems in productionInternal AI agents that help power and scale the productYou’ll work closely with product, design, and directly with customer engineering teamsWhat We’re Looking For5+ years building backend or infrastructure systems that actually run in productionStrong experience in Go, Python, Java, TypeScript/Node , or similarComfort operating in fast-moving, low-bureaucracy environmentsExperience with cloud infrastructure and containers (AWS/GCP/Azure, Kubernetes)Curiosity and genuine excitement about AI, LLMs, and what’s coming nextBonus PointsDistributed streaming systems (Kafka or similar)OLAP or analytics-heavy systemsObservability tooling (Prometheus, etc.)ML / data science exposureHands-on experience building or shipping LLM-powered productsComp & Perks$125k – $225k base + meaningful equityMedical, dental, vision, 401(k)Unlimited PTOGenerous parental leaveMental health & wellness supportHow We WorkRemote-first, async-friendly cultureOptional offices in NYC and the SF Bay AreaApply below if you're interested!#J-18808-Ljbffr","datePosted":"2026-06-02T05:30:07.274Z","dateModified":"2026-06-02T05:30:07.274Z","hiringOrganization":{"@type":"Organization","name":"Space Executive","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berkeley","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"17f9fe3cce7c36be7058eb44"},"url":"https://jobsearcher.com/jobs/17f9fe3cce7c36be7058eb44"}}