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Senior Software Engineer – Agent Systems

Kraken · United States · Remote

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About Kraken

Own the power of your money with Kraken. Trade crypto, stocks, futures, staking and more. Trusted by millions worldwide since 2011. Get started today.

About the role

Build and ship AI-powered agent systems that automate internal workflows and decision paths Design and implement inference pipelines that reason over user interactions across internal systems Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • 5+ years of experience building and shipping production software systems
  • Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability)
  • Experience building fullstack systems, with comfort working across backend and occasional frontend surfaces
  • Hands-on experience working with AI/ML systems, LLMs, or inference pipelines in production
  • Ability to prototype rapidly while maintaining a clear path to production-grade architecture
  • Strong systems thinking — able to reason about orchestration, failure modes, and observability
More about this role

Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.

Before you apply, we encourage you to explore our culture page to understand what drives us and how we work.

Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.

The Agent Systems team is a 0→1 engineering group building internal AI-powered agents that interact directly with company systems. The mandate is to dramatically increase internal speed of execution through automation, intelligent inference, and workflow orchestration.

This team operates at the intersection of AI, backend systems, and applied product engineering. The work is pragmatic and fast-moving — prototypes are expected, but the bar for production reliability remains high....

Read the full posting on Kraken's site ↗

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