Senior Software Engineer, Agents

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $230k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 19%

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RevenueCat

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

💼 Consulting

📣 Marketing

☁️ SaaS

💰 $40M Series B on 2021-05

Consulting • Marketing • SaaS

RevenueCat is a platform that helps developers build and grow their subscription-based apps by simplifying in-app purchase management across iOS, Android, and the web. Trusted by over 32,000 apps, RevenueCat offers a suite of tools for subscription data management, customer support, marketing, and engineering teams. The platform enables businesses to implement in-app purchases faster, automate receipt validation, and provide a central source of truth for subscription data. RevenueCat also supports A/B testing and provides actionable insights through a unified view of cross-platform usage, helping apps to drive growth and optimize revenue strategies. With its comprehensive API, RevenueCat facilitates the integration of subscriptions with existing marketing and analytics tools, allowing developers to focus on building impactful app features.

📋 Description

• Build advanced AI agents that perform real work for app developers • Ship agentic features to thousands of developers • Shape the foundation for orchestration, tool execution, context management, evaluation, and human-in-the-loop controls • Develop and improve RevenueCat's Rico subscription-business agent • Develop and improve RevenueCat's Astra paywall-building agent • Scope, prioritize, and drive product rollouts in partnership with Product • Ship user-facing features, monitor usage and adoption, and improve them over time • In the first month, learn tools, processes, subscription concepts, debugging tools, infrastructure, and architecture • Ship an initial feature demonstrating how Rico and Astra interact with RevenueCat APIs • Fix bugs, ship small improvements, and participate in pull-request reviews • Within three months, ship a medium-sized project, ideally an agentic feature reaching tens of thousands of developers • Develop opinions on and improve agent infrastructure, orchestration, evaluation pipeline, tool framework, and trust and permissions layer • Scope and execute projects from idea through post-launch improvements • Participate in code reviews, bug bashes, and technical discussions • Become the go-to engineer for focus areas • Make Rico and Astra more reliable, faster, and capable • Contribute to broader architecture discussions • Mentor incoming engineers • Talk directly with customers to understand product impact • Debug issues across frontend, backend, and data; communicate during incidents and drive preventative fixes • Learn incident response and join the on-call rotation • Build infrastructure for the team to ship agents on top of • Write proposals and drive major architecture discussions • Specify and architect large projects, gather feedback, and drive design validation and rollout plans • Help make RevenueCat an AI-native company by building its underlying agent engine • Develop initiatives to improve products and systems based on customer priorities

🎯 Requirements

• 8+ years of experience shipping production systems • Built agents that other people actually use and the systems around them: tool use, structured output, context management, evaluation, orchestration • Strong backend fundamentals; experience building reliable, observable, and secure systems • High bar for quality and ability to cut scope while delivering value • Customer-obsessed approach • Builder mindset: scoping, prioritizing, and driving rollout in partnership with Product • Ability to quickly familiarize yourself with and improve code written by others • Bias toward shipping and iterating • Clear communication in real-time and asynchronously • Shipped meaningful user-facing features to production, monitored usage and adoption, and improved them over time • High-quality, well-tested coding; methodical debugging; thoughtful feedback and mentorship • Comfortable noticing problems, proposing improvements, and following through quickly • Comfortable with ambiguity in an early-stage product • Self-directed approach • Curiosity and staying current on AI tools and practices • Habit of sharing learnings • Ideally, familiarity with subscription business models, app stores, or developer tools • Ideally, experience with OpenAI/Anthropic APIs specifically • Ideally, experience with observability frameworks such as Langfuse or Langchain • Ideally, experience building Slack integrations • Ideally, contributions to open source AI/ML tooling • Ideally, experience maintaining systems at scale

🏖️ Benefits

• 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 • A fully remote environment designed around autonomy and flexibility • 4-5 weeks of paid time off annually • Paid desk at a co-working space • Workspace budget and continuous learning stipend