Overview
In this role you build AI-powered agent systems to automate internal workflows at Kraken. You work across product, infrastructure, and operations to deploy agents that scale decision-making and execution. You prototype quickly, then productionize valuable capabilities while ensuring safety and observability. You contribute to the foundational design of the agent platform and partner with cross-functional teams to improve speed and reliability at scale. This is a hands-on, high-ownership opportunity to shape internal automation at a leading crypto platform.
Responsibilities
- Build and ship AI-powered agent systems that automate internal workflows and decision paths
- Design inference pipelines that reason over user interactions across internal systems
- Prototype rapidly and translate successful experiments into production-grade features
- Architect backend services integrating multiple internal APIs and data sources
- Define patterns for safe, observable, and controllable agent execution
- Collaborate cross-functionally to identify high-leverage automation opportunities
- Improve system speed, reliability, and signal quality as usage scales
- Contribute to foundational design decisions for an agent platform
Key requirements
- 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 backend and frontend exposure
- Hands-on experience with AI/ML systems, LLMs, or inference pipelines in production
- Ability to prototype rapidly with a clear path to production-grade architecture
- Strong systems thinking for orchestration, failure modes, and observability
- Comfort operating in ambiguous environments with high ownership
- cross-functional collaboration
- ownership mindset
- adaptability toAmbiguity
- APIs
- distributed systems
- data modeling
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