Top Engineering Jobs

Build Apollo’s AI-powered Builder Studio end to end, including chat-driven app creation, live previews, generated-app runtimes, workflows, integrations, delegated permissions, security, and reliability. The role requires strong full-stack development, production LLM experience, frontend expertise with complex UIs, backend and workflow design, and ownership of an ambiguous 0-to-1 product.

Sets organization-wide technical direction for critical, ambiguous engineering problems; owns long-term architecture and platform bets; defines AI and agent engineering strategy; establishes standards; mentors senior engineers; and partners with engineering and product leadership. The role requires deep distributed-systems expertise, strong judgment under ambiguity, organizational influence, and current fluency with AI-assisted development.

Design, build, and maintain highly scalable backend services and distributed web applications. Own the full software development lifecycle, including architecture, implementation, testing, monitoring, deployment, and maintenance. Partner with product managers and cross-functional teams, write technical design documents, improve system performance and reliability, mentor engineers, and use AI tools while validating their output and maintaining high code quality.

Build scalable growth-focused software, including onboarding flows, personalization engines, viral loops, experimentation systems, and analytics instrumentation. Collaborate with Product, Design, Marketing, Data Science, and Engineering to improve growth metrics. Develop high-quality frontend or full-stack applications, optimize performance and accessibility, maintain automation and continuous delivery, and apply AI and machine learning to improve engagement, retention, and personalization.

Design and implement scalable backend services, lead full software lifecycle, write design docs, mentor engineers, collaborate cross-functionally, improve performance and quality, and integrate AI tools to boost development productivity.

Design, build, and scale major systems end-to-end. Own performance, reliability, and cost tradeoffs. Collaborate across product, design, and engineering to break down ambiguous problems, ship solutions, and raise team quality using AI-assisted development.

Set technical direction org-wide, own highest-stakes architectural bets, lead the AI/agents rebuild, raise engineering standards, mentor senior engineers, and align teams with product and platform strategy.