Job Description

Most engineering orgs added AI to their toolbelt and called it transformation. We replaced the toolbelt entirely. Our platform — enterprise community engagement and social media management software trusted by Fortune 100 brands — is built by a lean, senior team whose output rivals teams many times larger, because AI agents do the building and engineers build the system that makes that possible.

We're looking for a Principal Full Stack Engineer who obsesses over engineering leverage: someone who sees a repeatable task and immediately thinks about the scaffolding, context, and evaluation loop that would let an agent handle it permanently. You won't be measured on lines written — you'll be measured on how much of the development lifecycle you've made autonomous, reliable, and shared.

Your Impact

Design the automation layer. Create and refine the skills, rules, context packages, and self-verification harnesses that enable coding agents to plan, implement, test, and deliver production-quality software with minimal human involvement — and make that involvement trend toward zero over time.
Run parallel agent operations. Dispatch concurrent workstreams to agent fleets, validate outputs against enterprise-grade criteria, and treat every agent failure as a system-design problem to solve once and permanently.
Deliver customer-facing features at startup speed. Collaborate shoulder-to-shoulder with product leadership in rapid cycles — a customer insight from a morning call can ship as a polished feature the same day. Velocity is non-negotiable, but so is reliability; these customers stake their brand reputation on our platform.
Compound gains across the team. Every rule tuned, every eval refined, every context file improved gets packaged and shared — your work lifts the ceiling for every engineer and every agent on the team, not just your own throughput.
Set technical direction. Scope initiatives, review architecture and PRs, mentor senior engineers, and enforce quality standards. You model the AI-native engineering culture and hold the bar before anything reaches production.

What You Bring

5+ years of production full-stack engineering on web-based systems — real depth in both front-end and back-end — with demonstrated experience stepping into tech lead or staff-level roles directing other senior engineers.
An AI-native operating model. You don't hand-code or pair-program with a chatbot. Your instinct is to build the context, tooling, and guardrails that let agents own work end-to-end, then review and verify the result. You think in systems, not keystrokes.
Broad, deep tool fluency at the frontier. You're a power user of leading agentic development tools (Claude Code, Cursor, Codex, or peers) — and you actively benchmark new tools and models weekly. Being locked into a single tool is a liability; never having gone deep on any is equally disqualifying.
Current, nuanced model judgment. You can explain which frontier model to reach for in a given scenario, what changed in the last release cycle, and when to trade capability for cost or latency — because you've tested them yourself.
Strong product instinct. Hand you a goal and you'll define the solution, ship it polished, and own it through to enterprise release — defensive coding, edge-case handling, security, and automated evaluation included. Demo works is never your finish line.
Cloud & CI/CD ownership. Enough AWS and pipeline experience to stand up, ship, and operate a product solo — no infrastructure hand-offs required.
Production LLM experience. You've shipped real applications integrating large language models via APIs, prompt engineering, agent pipelines, or automation workflows.
Model Context Protocol (MCP) — hands-on understanding and prior application.

Bonus Points

Experience with enterprise social, community, or customer-engagement platforms.
Contributions — published writing, talks, or open source — in agentic engineering or AI-assisted development.
Hands-on design of multi-agent orchestration: parallel execution, worktree strategies, or file-based agent coordination.
A track record of building reusable internal tooling (shared rules, eval frameworks, skill libraries) that measurably accelerated a team's output.

What's In It For You

Uncapped AI resources. No token budgets, no tool restrictions. If a superior model or configuration exists, the door is open — always.
Fully remote, async-first, worldwide. Written artifacts over status meetings, deep focus on your own schedule, and a feedback loop fast enough to close the gap between idea and production in hours.
Outsized influence in a lean team. Weekly outcome cycles, direct access to product leadership, and Fortune 100 customers who feel the impact of your decisions immediately.
Career-defining skill development. You'll build rare expertise at the intersection of applied AI systems, agent orchestration, and enterprise product engineering — the discipline that compounds fastest as AI capabilities accelerate.

If your career has been building toward this moment — where engineering excellence means designing the system that lets AI deliver, not just delivering yourself — we should talk.