RevenueCat

2 days ago

Senior Software Engineer, Agents

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 minutes agoStatus: Live

Job Summary

Build the foundational infrastructure for an AI assistant that helps developers understand and grow their subscription revenue. You’ll design and ship systems for agent orchestration, tool execution, context management, evaluation, and a trust/permissions layer that enables increasing autonomy. Work on a remote-first team using LLM capabilities (Slack-first, expanding to dashboard/API), improving reliability and performance while shipping agentic features to tens of thousands of developers.

Location: Americas, EMEA

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Build agent infrastructure including orchestration, tool execution, context management, evaluation, and trust/permissions layers.
•Develop the AI assistant that pulls real-time data, debugs integrations, and explains app behavior using natural language.
•Ship agent features and improve reliability or performance gaps identified in production.
•Own a core infrastructure area such as orchestration, evaluation pipeline, tool framework, or trust/permissions layer.
•Participate in incident response on-call rotation and contribute to architectural discussions, including proposals and code review.

Pay and Benefits

Salary: USD 230,000 annually

Equity and Bonus:Equity

Perks:EquityRemote WorkLearning BudgetPaid Leave

Key Requirements

•5+ years of experience shipping production systems.
•Hands-on experience building systems with LLMs (tool use, structured output, context management, evaluation, orchestration).
•Strong backend fundamentals with reliable, observable, and secure systems.
•Comfort working in ambiguity in an early-stage product where architecture is still evolving.
•Ability to communicate and collaborate effectively in a fully-remote culture.

Experience:SaaSDeveloper toolsAI/MLSubscription business models

Skills:CollaborationCommunicationSelf-directedProblem-solvingWorking with ambiguity

Tech Stack:LLMsOpenAIAnthropicSlackLangfuseLangchainAPIs

Company Brief

RevenueCat

Provides a subscription infrastructure platform for mobile and web apps to manage in-app purchases, receipts, analytics, and customer entitlements, simplifying revenue management and integrations across platforms and payment providers.

Industry: Fintech Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: Boston, United States

Website LinkedIn

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RevenueCat

2 days ago

Senior Software Engineer, Agents

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 minutes agoStatus: Live

Job Summary

Location: Americas, EMEA

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Build agent infrastructure including orchestration, tool execution, context management, evaluation, and trust/permissions layers.
•Develop the AI assistant that pulls real-time data, debugs integrations, and explains app behavior using natural language.
•Ship agent features and improve reliability or performance gaps identified in production.
•Own a core infrastructure area such as orchestration, evaluation pipeline, tool framework, or trust/permissions layer.
•Participate in incident response on-call rotation and contribute to architectural discussions, including proposals and code review.

Pay and Benefits

Salary: USD 230,000 annually

Equity and Bonus:Equity

Perks:EquityRemote WorkLearning BudgetPaid Leave

Key Requirements

•5+ years of experience shipping production systems.
•Hands-on experience building systems with LLMs (tool use, structured output, context management, evaluation, orchestration).
•Strong backend fundamentals with reliable, observable, and secure systems.
•Comfort working in ambiguity in an early-stage product where architecture is still evolving.
•Ability to communicate and collaborate effectively in a fully-remote culture.

Experience:SaaSDeveloper toolsAI/MLSubscription business models

Skills:CollaborationCommunicationSelf-directedProblem-solvingWorking with ambiguity

Tech Stack:LLMsOpenAIAnthropicSlackLangfuseLangchainAPIs

Company Brief

RevenueCat

Industry: Fintech Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: Boston, United States

Website LinkedIn