Senior Software Engineer – Agent Systems

Building the Future of Crypto

Our Krakenites are a world‑class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.

Kraken is a mission‑focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world. Before you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission.

We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here. As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry‑leading security, crypto education, and world‑class client support through our products like Kraken Pro, Desktop, Wallet, and Kraken Futures.

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.

Engineers on this team move fluidly between experimentation and shipping, building systems that reason over user interactions and take meaningful action across internal tools. You’ll work closely with cross‑functional partners across product, infrastructure, and internal operations to deploy agent‑driven capabilities that compound leverage across the organization.

• 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 product ionize 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 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

• 5+ years of experience building and shipping production software systems
• Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability)
• Experience building full‑stack 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

• 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

Unless a specific Final date to receive applications is stated in the job posting, applications are accepted on an ongoing basis.

Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.

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