> Markdown version of [/jobs/ext/2210944-principal-full-stack-engineer-ai-systems-engineering-automation](https://www.wearedevelopers.com/jobs/ext/2210944-principal-full-stack-engineer-ai-systems-engineering-automation). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Full Stack Engineer - AI Systems & Engineering Automation - **Company:** IGNITETECH9 CORPORATION - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Continuous Integration, Cursor (Graphical User Interface Elements), Programming Tools, Open Source Technology, Software Engineering, Web Applications, Large Language Models, Prompt Engineering, Backend, Front End Software Development - **Published:** August 24, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pecfh5nxld ## About the Role 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., * 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. ## Description * 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. ## Related Videos - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Green Cloud Computing](https://www.wearedevelopers.com/videos/592-green-cloud-computing) - [Generate AI in the Browser with Chrome AI - Raymond Camden](https://www.wearedevelopers.com/videos/1770-generate-ai-in-the-browser-with-chrome-ai-raymond-camden) - [Headless by Design: Building Enterprise Systems That Agents Can Actually Use](https://www.wearedevelopers.com/videos/100092-headless-by-design-building-enterprise-systems-that-agents-can-actually-use) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Never delegate the understanding](https://www.wearedevelopers.com/magazine/749-never-delegate-the-understanding) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)