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Backend Engineer - AI Agent & Governance at Superblocks. . Location: New York, NY · Remote. Superblocks is reimagining software development for a billion builders. Our mission is to help every team build, deploy, and manage AI-powered software with full control and flexibility.. . Why Join Us?. . We’re one of the fastest-growing AI startups, backed by top-tier investors and widely adopted by companies like Instacart, Sofi, Betterment, and Carrier. Our team comes from Uber, Stripe, Datadog, Confluent, Elastic, and Google, and has founded/architected systems like Kafka, Kibana, Debezium, Datadog APM, and more.. . Since launching Clark, our AI builder, the response has been overwhelming with strong adoption from enterprises across different industries.. . We’re fully in-person at our NYC HQ near Union Square and are looking for exceptional engineers who are passionate about creating great products.. . The Role. . You’ll play a key role in designing and developing the core systems that build and manage hundreds of thousands of AI applications. You’ll thrive here if you’re low-ego, hands-on, and energized by building fast, learning constantly, and solving real-world problems with smart teammates.. . Responsibilities:. . . Design and develop the core control plane for AI agents that supports custom RBAC, auth, AI guardrails, auditing and observability.. . Develop systems that support multiple tenants and run across cloud and on-prem setups.. . Build, deploy, and optimize AI agent performance, alignment and evals.. . Work closely with customers to ship high-impact features driven by real-world use.. . Partner with product to define the roadmap and bring new AI tooling to life.. . . Must haves:. . . 3+ years of experience in full-stack or backend engineering with expertise in scalable system design and architecture. . Strong product sense focused on great user experiences and strategic thinking to meet market and customer needs.. . You’re all-in and committed to building a generational AI company, far beyond a 9 to 5 job.. . . Nice to haves:. . . Built and operated production AI systems and are familiar with AI inference techniques.. . Optimized language runtimes and enable cross-language integration (e.g., Go, Python, C), including customizing or building WASM compilers and runtimes.. . Experience with machine learning algorithms, platforms, and frameworks like PyTorch and Tensorflow.. . . Compensation. . The base salary ranges between $175,000–$225,000+ USD, plus a generous equity package. Final comp will be based on experience and skills.. . If you’re excited to build the experience that can enable the next billion builders and AI-powered apps, let’s talk.