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Kraken, a leading crypto platform founded in 2011 and trusted by over 10 million individuals and institutions globally, is seeking a Senior Software Engineer to join the Agent Systems team. This is a 0→1 engineering group building internal AI-powered agents that interact directly with company systems to dramatically increase internal speed of execution through automation, intelligent inference, and workflow orchestration.
The Agent Systems team operates at the intersection of AI, backend systems, and applied product engineering. Work is pragmatic and fast-moving—prototypes are expected, but production reliability standards remain high. Engineers move fluidly between experimentation and shipping, building systems that reason over user interactions and take meaningful action across internal tools.
In this role, you will:
- 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
- Prototype quickly to validate agent behaviors, then productionize what proves valuable
- Architect backend services that integrate with multiple internal APIs and data sources
- Define patterns for safe, observable, and controllable agent execution
- Collaborate cross-functionally with product, infrastructure, and internal operations teams to identify high-leverage automation opportunities
- Improve system speed, reliability, and signal quality as usage scales
- Contribute to foundational design decisions for a 0→1 agent platform
You will work closely with cross-functional partners across product, infrastructure, and internal operations to deploy agent-driven capabilities that compound leverage across the organization.
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 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
- Comfort operating in ambiguous, 0→1 environments with high ownership
NICE TO HAVES:
- Experience building or operating agent-based systems or autonomous workflows
- Familiarity with prompt engineering, evaluation frameworks, or model performance tuning
- Experience integrating with internal enterprise systems (CRM, support tools, analytics platforms, etc.)
- Background in building developer platforms or internal tooling
- Experience designing guardrails, sandboxing, or safety layers for AI systems
