AI-Native Software Engineer

Overview

We're looking for an engineer who builds software the way it'll be built in 2027 — fluent with AI tools, sharp on agent design, and capable of going from "this workflow is annoying" to "I built an agent that handles it" in a week.

What you'll do:

1. Ship production features using AI-assisted development as your default mode (Claude Code, Cursor, or whatever ships best work)
2. Identify workflows in our business that can be automated with agents — and pitch them with the ROI thinking already done
3. Build, observe, and iterate on those agents: prompts, tool design, evals, guardrails, the works
4. Make calls on when an agent is the right answer vs. when boring deterministic code wins
5. Own things end-to-end — there's no one to hand off to

What we need

• 2+ years of solid software engineering experience (we're not hiring around AI; we're hiring engineers who've leveled up with it. A few months with AI led development is fine).
• Demonstrated work with AI-assisted development — you can show us code you've shipped and talk about how you worked with the model to get there
• Hands-on agent-building experience: you've built at least a few non-trivial agents, broken them, and learned what works
• Comfort with at least one agent framework or SDK (LangGraph, the Anthropic/OpenAI SDKs, Mastra, custom — we don't care which, we care that you have opinions)
• Strong product instincts — you can look at a process and see the agent-shaped hole in it

Nice to have

• Experience with evals and observability for LLM systems (Langfuse, Braintrust, custom — anything that shows you measure)
• Built something agent-y that real users used
• A side project, blog post, or repo we can look at

Interested candidates can apply by filling out the Google Form below. Please note that only applications submitted through the form will be considered for the hiring process.

Apply here: https://lnkd.in/dpuTznWG