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Backend Engineer

Space Exec · space-exec.com
United StatesRemote
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Posted 9 days ago. 195 more Backend Engineer jobs in the United States went up on company career pages this week. See the newer ones

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The job in short

Backend engineering.

PythonJavaTypeScriptNode.jsKafkaAWSAzureGCPKubernetesLLMLLMsData science

Details

Found
9 d ago · posted 2026-10-29
Pay (as listed)
$125,000–$225,000 a year

Full description

Senior Backend Engineer – AI / ML Infrastructure (Remote) The Opportunity: We’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 Building: • Core backend services powering a high-scale AI observability platform • Distributed analytics systems built primarily in Go (with Python, Java, and TypeScript in the mix) • APIs and infrastructure designed specifically for ML and LLM workflows • Real-time data pipelines handling massive throughput • Open-source extensions to OLAP databases and messaging systems • Tooling that helps teams understand, debug, and improve AI systems in production • Internal AI agents that help power and scale the product • You’ll work closely with product, design, and directly with customer engineering teams What We’re Looking For: • 5+ years building backend or infrastructure systems that actually run in production • Strong experience in Go, Python, Java, TypeScript/Node, or similar • Comfort operating in fast-moving, low-bureaucracy environments • Experience with cloud infrastructure and containers (AWS/GCP/Azure, Kubernetes) • Curiosity and genuine excitement about AI, LLMs, and what’s coming next Bonus Points: • Distributed streaming systems (Kafka or similar) • OLAP or analytics-heavy systems • Observability tooling (Prometheus, etc.) • ML / data science exposure • Hands-on experience building or shipping LLM-powered products Comp & Perks: • $125k – $225k base + meaningful equity • Medical, dental, vision, 401(k) • Unlimited PTO • Generous parental leave • Mental health & wellness support How We Work: • Remote-first, async-friendly culture • Optional offices in NYC and the SF Bay Area Apply below if you're interested!

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