Senior Software Engineer, Agents

RevenueCat; Americas; Presencial; MXN 1.788.269 - 2.324.749; Jornada completa

Descripción de la vacante

A technology company focused on app monetization seeks an experienced engineer to build an AI assistant infrastructure. The role requires expertise in developing production systems and experience with LLMs. You will be responsible for improving reliability, launching features, and mentoring new team members in a fully remote environment. This position is ideal for self-directed individuals who can navigate ambiguity and contribute to architectural discussions. Competitive compensation and remote-friendly culture included.

Formación

• 5+ years of experience shipping production systems.
• Hands-on experience building systems around LLMs.
• Strong backend fundamentals for reliability and security.
• Comfortable with ambiguity in early-stage products.
• Self-directed and proactive in building and shipping.

Responsabilidades

• Build foundational infrastructure for the AI assistant.
• Identify performance gaps and fix them.
• Launch new agentic features for developers.
• Contribute to architectural discussions.

Conocimientos

Production system development

Building with LLMs

Backend fundamentals

Self-directed work

Effective communication

Descripción del empleo

RevenueCat removes the headaches of building and scaling in‑app subscriptions. Since graduating from YC’s S18 batch we’ve grown into the default monetization platform for mobile: we’re in >40% of newly shipped subscription apps, we process $10B+ in annual purchase volume, and we help everyone from a solo dev in Brazil to the OpenAI mobile team understand and grow their revenue.

We’re a remote‑first crew of 120+, spread across 25 countries, and guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. If you want your work to touch hundreds of millions of end‑users (and help the developers behind them get paid), you’ll fit right in.

The Role

We're building an AI assistant that helps developers understand and grow their subscription revenue. It lives in Slack today and is expanding to our dashboard and API. It can pull real-time data, evaluate experiments, debug integrations, and explain what's happening in your app using natural language. We see a future where the majority of a user's interactions are either intermediated or automated by our agent.

We're a team that's historically built deterministic CRUD systems, and we need an engineer who can build the foundational agent infrastructure that everything else runs on: orchestration, tool execution, context management, evaluation, and the trust layer that lets us give an agent increasing autonomy over things that matter.

About you:

• You have 5+ years of experience shipping production systems.

• You have hands‑on experience building with LLMs — not just prompting, but building the systems around them: tool use, structured output, context management, evaluation, orchestration.

• You have strong backend fundamentals. You've built systems that need to be reliable, observable, and secure.

• You are comfortable with ambiguity. This is an early‑stage product inside a growth‑stage company. The architecture is still being figured out.

• You are self‑directed. You figure out what needs to be built, build it, and ship it.

• You collaborate well with others and can communicate effectively in a fully‑remote culture.

Bonus:

• Experience with OpenAI/Anthropic APIs specifically.

• You've built agents that other people use.

• Experience with evaluation and observability frameworks (Langfuse, Langchain, etc).

• Familiarity with subscription business models, app stores, or developer tools.

• You've built Slack integrations or other conversational interfaces.

• Contributions to open‑source AI/ML tooling.

In the first month, you'll:

• Ship your first agent feature and get familiar with the architecture, tool ecosystem, and how Rico talks to RevenueCat's APIs.

• Identify the biggest reliability or performance gap and start fixing it.

• Meet with the team, get set up with repos, dev environment, and debugging tools.

• Familiarize yourself with RevenueCat dashboards, logging, debugging tools, cloud providers, infrastructure management and general architecture.

Within the first 3 months, you'll:

• 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.

Within the first 6 months, you'll:

• 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.

Within the first 12 months, you'll:

• 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.