Kraken

Senior Software Engineer – Agent Systems

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SeniorZdalnie·LondynFull-time

#446069·Dodano 25 dni temu·8

Źródło: Kraken

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Tech Stack / Keywords

AILLMinference pipelinesdistributed systemsAPIsworkflow orchestrationbackend servicesprototypefullstack

Firma i stanowisko

Payward is the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services, and CF Benchmarks. Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions globally. The Agent Systems team is a 0→1 engineering group building internal AI-powered agents to increase internal speed of execution through automation, intelligent inference, and workflow orchestration.

Wymagania

5+ years of experience building and shipping production software systems
Strong backend engineering fundamentals including APIs, distributed systems, data modeling, and reliability
Experience building fullstack systems with comfort 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 with ability to reason about orchestration, failure modes, and observability
Comfort operating in ambiguous, 0→1 environments with high ownership

Nice to have:

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 such as CRM, support tools, and analytics platforms
Background in building developer platforms or internal tooling
Experience designing guardrails, sandboxing, or safety layers for AI systems

Obowiązki

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

Inne informacje

Applications are accepted on an ongoing basis unless a specific deadline is stated. Applicants may redact or remove age, date of birth, or education dates from resumes. The employer considers applicants with criminal histories in compliance with the San Francisco Fair Chance Ordinance. Employment decisions are based on merit without discrimination against protected characteristics as defined by federal, state, or local laws.

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