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Building the Future of Open Finance 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. Proof of work The team 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. 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. The opportunity 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 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 Skills you should HODL 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 Unless a specific application deadline 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. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Senior Software Engineer – Agent Systems

No apliques sin prepararte

Senior Software Engineer – Agent Systems

No apliques sin prepararte