Senior Software Engineer – AI SaaS

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 25%

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Process Street

51 - 200 employees

Founded 2013

💰 $12.2M Series A on 2020-02

Process Street is a modern process management platform for teams. We help teams share their core processes, then transform them into powerful no-code workflows.

📋 Description

• 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 to production • Build frontend features using 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 and shape how they work with AI • Solve problems during six-week Shape Up cycles and improve systems, tooling, or explore ideas during two-week cooldowns • Collaborate asynchronously and autonomously across a global remote team

🎯 Requirements

• 7+ years of software engineering experience • Strong experience with backend systems using Scala, Java, Ruby, or C# • 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 intuition for when to rely on AI versus manual implementation • Experience designing systems, not just implementing features • Excellent written communication • Residence in a timezone between UTC-6 and UTC+2 • Deep configuration and context-structuring knowledge of Claude Code or Codex • Experience experimenting with or building custom LLM development workflows • Experience with internal engineering tools, prompts, or AI “skills” • Experience with agent-like systems operating across files, repositories, or tasks • Comfort writing code, designing systems, prompting/guiding AI agents, and debugging AI-generated output

🏖️ Benefits

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

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