Fullstack Software Engineer (AI-Native)

• Own end-to-end delivery of features — from refining tickets to deployment, monitoring, and iteration. - Operate AI coding agents (Claude Code and similar) at a high level: scope work, structure context, run multiple agents in parallel where it makes sense, and ship reviewed, production-quality output. - Move fluidly across the stack — TypeScript/Vue on the frontend, Python on the backend, SQL and data modeling, infra touchpoints. Pick up whatever the work needs. - Collaborate in a squad model with PMs, designers, and engineers; participate in 2-week sprints, standups, refinements, retros, and code reviews. - Design schemas, queries, and APIs that hold up at scale — performance, reliability, and correctness are on you, not on the agent. - Contribute to engineering practices: better patterns, better tooling, better ways to use AI across the team. - Spend time with customers onsite a few times a year — distributors operate in

warehouses and on sales floors, and the best product calls come from being there in

person. #### Requirements

• 5+ years as a software engineer with real, demonstrable fullstack delivery — production systems, real users, real ownership. Resume-level hands-on experience, not LLM-generated portfolios. - Strong fundamentals. You understand what the code is doing and why. You can read a stack trace, reason about a query plan, debug a race condition, and tell when an agent is wrong. We are explicitly not hiring "vibe coders" who depend on AI to compensate for missing fundamentals — AI amplifies seniority, it doesn't replace it. - Daily, hands-on use of agentic dev tools. Claude Code, Cursor agent mode, Codex, or equivalent — used to ship real features, not just autocomplete. You can talk concretely about how you structure prompts, manage context, parallelize agents, and verify their output. - Generalist instinct. You're comfortable jumping between Vue, Python, SQL, infra, and integrations. You don't wait for someone else to take the layer you're "not assigned to."

• Database and systems chops. You design efficient schemas and queries, understand indexing and tradeoffs, and can reason about distributed-system failure modes. - Startup mindset. Pragmatic, fast, biased to ship, comfortable with ambiguity, close to users. - Strong communication. You can explain technical decisions to PMs, designers, and customers — in writing and in person. - Ownership and judgment. You take features from idea to production and exercise good taste on what to build, what to cut, and when AI output isn't good enough. #### Big Plus

• Experience building integrations with distribution ERPs (Epicor Eclipse, P21, or similar) — ingesting orders, products, customers, pricing; reconciling messy real-world data. Bonus if you've done this in a customer-facing or implementation context. - Experience building or integrating with agentic products — MCP servers, tool-using agents, agent frameworks, evals, prompt/context engineering at the system level. - Prior experience at an early-stage SaaS startup. #### Benefits

• Competitive salary + company stock options — we want you to feel like an owner. - Flexible schedule with high autonomy. - Unlimited PTO + 10 company-paid holidays. - 12 weeks fully paid parental leave (primary and secondary, including adoption and fostering). - Annual company-paid offsites. Proton.ai participates in the E-Verify program: Notice of E-Verify Participation, Right to Work.