RevenueCat - Senior Software Engineer, Agents
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Responsibilities
• Launch a brand new agentic feature to tens of thousands of developers. • Own a core infrastructure area — orchestration, eval pipeline, tool framework, or the trust/permissions layer. • Be able to scope and work on projects self-sufficiently. • Learn the basics of incident response and be part of the on-call rotation. • The agent is measurably more reliable, faster, and capable because you're here. • You've built infrastructure that the rest of the team ships agents with. • Review code, create proposals, and contribute to architectural discussions. • Have shipped a major product or feature. • RevenueCat is an AI-native company. You built the engine underneath it. • Know all the major components of our agent system and be able to debug complex issues. • Have your own initiatives for improving our agent products, understanding the current issues and priorities. • Mentor other engineers joining the team.
Benefits
• $227K • Offers Equity • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here • What is an example of a non-computer system you've hacked to your advantage? • How are you leveraging AI to do your work better? • Tell us about an agent coding session you are particularly proud of. Explain how you helped the LLM build initial context, how you decided on the implementation plan, and how you validated what was generated/changed. • Tell us about an LLM-based system you've built that takes actions in the real world (not just generates text). What was the architecture, what broke, and how did you handle reliability? • How do you think about evaluation and testing for non-deterministic systems? What's your approach when you can't write a simple assert?
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