Principal Backend Engineer, Agentic AI (Remote)
CrowdstrikeFull Time
Expert & Leadership (9+ years)
New York, New York, United States
Key technologies and capabilities for this role
Common questions about this position
The base salary range is $175,000–$225,000+ USD, with a generous equity package. Final compensation will be based on experience and skills.
The position is fully in-person at the NYC HQ near Union Square.
Must-haves include 3+ years of experience in full-stack or backend engineering, expertise in scalable system design and architecture, strong product sense focused on great user experiences, strategic thinking to meet market and customer needs, and commitment to building a generational AI company.
The team comprises experienced professionals from Uber, Stripe, Datadog, Confluent, Elastic, and Google. They seek low-ego, hands-on engineers energized by building fast, learning constantly, and solving real-world problems with smart teammates.
Strong candidates have 3+ years of full-stack or backend experience, expertise in scalable systems, strong product sense, strategic thinking, and a passion for building generational AI products beyond a 9-to-5 job. Nice-to-haves include experience with production AI systems, AI inference, language runtimes, and ML frameworks like PyTorch.
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Superblocks provides a programmable platform for fintech developers to create internal applications, workflows, and jobs efficiently. The platform connects securely to production databases, allowing users to run SQL queries, which helps streamline operations for banks, financial institutions, and fintech startups. Superblocks emphasizes security and compliance, making it suitable for critical tasks like Know Your Customer (KYC) and Anti-Money Laundering (AML) underwriting. The company operates on a subscription-based model, offering various tiers based on user count and workflow complexity, which allows it to serve both small startups and large institutions. The goal of Superblocks is to help fintech companies save time and resources in building internal tools, enabling them to focus on their core products.