Senior Software Engineer, Agents

RevenueCat builds monetization infrastructure for mobile apps. This role is for building AI agents (Rico and Astra) that help developers manage subscriptions and paywalls. The engineer will work on agent orchestration, tool use, and LLM integration.

• Ship your first project: a small feature that gets you into the codebase and shows you how Rico and Astra talk to RevenueCat's APIs
• Ship a medium sized project, ideally a new agentic feature that reaches tens of thousands of developers
• Understand the main product areas your team owns and how they work end to end
• Understand our current agent infrastructure, orchestration, the eval pipeline, the tool framework, and the trust and permissions layer, and have opinions on how to improve it
• Scope and work on projects on your own, from idea to post launch improvements
• Take part in code reviews, bug bashes, and technical discussions
• Become the go to engineer for certain focus areas
• Have made Rico and Astra measurably more reliable, faster, and capable
• Contribute to architecture discussions that affect more than just your team
• Mentor other engineers joining the team
• Talk directly with customers to understand how your work actually lands
• Debug issues across frontend, backend, and data. Communicate clearly during incidents and drive fixes that prevent repeats
• Learn the basics of incident response and join the on call rotation
• Have built infrastructure the rest of the team ships agents on top of
• Know all the major components of our system and be able to debug complex issues across i
• Write proposals and drive major architecture discussions
• Spec and architect large projects, gather feedback, and drive design validation and rollout plans
• Have made RevenueCat an AI native company in large part because you built the engine underneath it
• Have your own initiatives for improving our product and systems, grounded in real customer priorities

• You have 8+ years of experience shipping production systems.
• You've built agents that other people actually use and the systems around them: tool use, structured output, context management, evaluation, orchestration.
• You have strong backend fundamentals.
• You hold a high bar for quality and instinctively know which details matter, but also are discerning enough to cut scope when needed while still delivering value.
• You’re customer-obsessed: you imagine yourself as the developer, product manager, or marketer using the feature or experiencing the issue.
• You’re a builder, not an implementer: scoping, prioritizing, and driving rollout in partnership with our Product team.
• You can quickly familiarize yourself with code you didn't write yourself and improve it.
• You’re scrappy and biased toward shipping. You’d rather ship a good version today and iterate than wait to ship a perfect one next quarter.
• You communicate clearly, both in real-time and asynchronously.
• You’ve shipped meaningful user-facing features to production, monitored their usage and adoption, and improved them over time.
• You write high-quality, well-tested code, debug issues methodically, and help raise the engineering bar through thoughtful feedback and mentorship.
• You act like a founder: you notice problems, propose improvements, and follow through fast.
• You're comfortable with ambiguity. This is an early stage product inside a growth stage company, and the architecture is still being figured out.
• You're self directed. You figure out what needs to be built, build it, and ship it.
• You are curious and stay current on AI tools and practices.
• You have a habit of sharing what you learn with others.
• Ideally, you have: Familiarity with subscription business models, app stores, or developer tools
• Ideally, you have: Experience with OpenAI/Anthropic APIs specifically
• Ideally, you have: Experience with observability frameworks (Langfuse, Langchain, etc.)
• Ideally, you have: Built Slack integrations
• Ideally, you have: Contributed to open source AI/ML tooling
• Ideally, you have: Maintained systems at scale

• Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator
• 10-year window to exercise vested equity options
• Fully remote and flexible work environment
• 4-5 weeks of suggested time off annually for mental, physical, and emotional recharge
• $2,000 USD for workspace setup and $1,000 USD annual stipend for continuous learning