Backend Engineer - Enterprise Platform

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.

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.

You’ll play a key role in designing and developing the core systems that power 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 applications 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 architecture, guardrails 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 have:

• 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. 

The base salary ranges between $175,000–$225,000+ USD, plus a generous equity package and benefits. Final comp will be based on experience and skills.

If you’re excited to build the core infrastructure powering the next billion AI-powered apps, let’s talk.