Build performant distributed systems for Asana’s AI roadmap in Vancouver, applying architecture, microservices, and technical leadership skills onsite three days weekly. This Senior Software Engineer search spans several expanding AI engineering teams. You could develop evaluation and safety infrastructure, architect the core agentic runtime, or create enterprise builders and canvas surfaces. A streamlined technical interview process supports matching you with the appropriate team after interviews. Key Responsibilities:
Drive end-to-end delivery of medium-to-large AI projects Balance technical debt, developer velocity, risk, and business goals Anticipate customer and architectural risks early Run retrospectives and establish engineering testing norms Collaborate with managers, designers, and data scientists Requirements:
Six-plus years building and maintaining distributed production systems Track record leading multi-contributor technical projects Practical experience or interest in LLMs and RAG Strong technical design documentation and trade-off evaluation skills Passion for mentoring and actionable engineering feedback Apply distributed systems leadership, microservices experience, and AI interest to complex engineering work at Asana.
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Senior Distributed Systems Engineer AI in Vancouver employer: ContentBuffer
At Honeycomb, we pride ourselves on being an excellent employer by fostering a culture of autonomy and accountability, where your contributions directly impact our innovative AI-powered workflows. As a remote company, we offer flexible work arrangements, competitive benefits, and ample opportunities for professional growth, ensuring that you can thrive in your role while collaborating with diverse teams across the globe. Join us to be part of a forward-thinking environment that values data-driven decision-making and encourages you to deliver meaningful results.
