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Senior Software Engineer – AI SaaS

Vaga não está no LinkedIn

🕒 6 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🗣️🇺🇸🇬🇧 Inglês obrigatório

De onde vem esta vaga

Publicada na página de carreiras da Process Street, não em um site de vagas

Vista pela primeira vez pelo Remote Rocketship 6 dias atrás

Ainda aberta no site da Process Street. Verificada 5 minutos atrás.

Logo of Process Street

Process Street

51 - 200 funcionários

Fundada em 2013

💰 $12.200.000 Series A em 2020-02

A Process Street é uma plataforma moderna de gestão de processos para equipes. Ajudamos as equipes a compartilhar seus processos essenciais e, em seguida, transformá-los em fluxos de trabalho no-code poderosos.

Descrição

• Architect and evolve backend systems using Scala, Play, Postgres, and AWS • Design and deploy scalable APIs and AI-assisted services • Own feature development end to end, from ideation through production • Build frontend features with React, Chakra, Storybook, and modern state tools • Develop and maintain agent-driven development workflows • Use Claude Code and Codex to accelerate implementation, debugging, and refactoring across parallel sessions • Create internal tooling, prompts, and engineering systems to improve velocity and code quality • Optimize performance across frontend, backend, and AI-assisted pipelines • Define best practices for AI-native software development • Eventually lead a small team of 2–3 engineers • Help architect and evolve Process Street into an AI-native product and engineering organization • Work within 6-week Shape Up cycles and 2-week cooldowns

🎯 Requisitos

• 7+ years of software engineering experience • Strong experience with backend systems, especially Scala; Java, Ruby, or C# also accepted • Strong experience with JavaScript and React • Experience building and scaling SaaS products • Deep familiarity with AI coding tools such as Claude Code, Codex, and Cursor • Comfort working across multi-session, agent-driven workflows • Strong judgment about when to rely on AI versus manual implementation • Experience designing systems, not just implementing features • Excellent written communication • Live in a timezone between UTC−6 and UTC+2 • Experience or experimentation with custom LLM development workflows, internal engineering tools, prompts, skills, or agent-like systems • Comfort writing code, designing systems, prompting/guiding AI agents, and debugging AI-generated output

🏖️ Benefícios

• “No Meeting” Fridays • Unlimited PTO policy; most take 3–4 weeks, plus major holidays and a company-wide week off in December • Company offsite and sponsored small-group meetups • Social time including coffee chats, game-playing, story-telling, and more • Generous health insurance for US employees and their families, including dental and vision plans • Equity for all full-time roles • Flexible remote culture • Async-first work culture • Autonomy and ownership of work

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