> Markdown version of [/jobs/ext/2072039-software-engineering-superbuilder-ai-dna-200k-year-usd](https://www.wearedevelopers.com/jobs/ext/2072039-software-engineering-superbuilder-ai-dna-200k-year-usd). 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). --- # Software Engineering Superbuilder, AI-DNA, $200k/year USD - **Company:** IGNITETECH9 CORPORATION - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $200,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Continuous Integration, Software Engineering, Large Language Models, Multi-Agent Systems, Prompt Engineering, Free and Open-Source Software - **Published:** August 15, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pb8umczz6p ## About the Role * 5+ years of full-stack software engineering, primarily on web-based systems - genuine front-end and back-end depth, by a senior engineer who's already had a strong IC career and stepped up as a tech lead. * Production AI/LLM integration - you've shipped real applications using LLMs via APIs, prompt engineering, agents, or automation. * Cloud & delivery (one-stop-shop) - solid AWS and CI/CD experience, enough to own a product end-to-end as a one-person band: stand it up, ship it, and operate it without handing off the infrastructure. * Model Context Protocol (MCP) - demonstrated understanding and prior application. * Technical leadership & complex decisions - you've made hard architectural calls, led PR review, and directed senior and mid-level engineers; you set direction and hold the bar, not just produce. * Enterprise-grade software experience - you've shipped production software at enterprise quality. Defensive coding, edge cases, validation, security, resilience, and automated evals are your default. You don't ship open-loop AI systems. Nice to Have * Prior experience building on enterprise community, social messaging, or customer-engagement platforms. * Published writing, talks, or open-source contributions in AI-assisted engineering, agentic systems, or full-stack/LLM product work. * Experience designing multi-agent or orchestrator/sub-agent workflows (parallel execution, worktrees, file-based agent communication). * A track record of building reusable internal tooling - shared skills, rules, eval frameworks - that measurably raised a whole team's output. ## Description You'll operate at the frontier of AI-native engineering - a live cross-section of full-stack product work, applied LLM systems, and agent orchestration at scale. You'll develop a rare depth in the thing that actually compounds: building the leverage that lets AI own more of the work, and sharing it so a whole team gets faster. The AI-native way of working here is already in production - you'll help define what it means to push the bottleneck back, again and again, making the whole system sharper over time rather than just keeping pace with it. Working Conditions Fully remote, async-first, global. No office. The team is lean and senior - you'll work in a tight loop with product leadership and direct both senior engineers and a fleet of agents, owning outcomes without a layer beneath you to lean on. Your week divides roughly across aligning on the vision and planning, building leverage and shipping, and review and team multiplication - with the balance shifting toward wherever the load demands. We default to async: status updates over status meetings, a shared written source of truth, deep work on your own schedule - paired with a fast feedback loop where customer and product input can be live the same day. Outcomes are defined explicitly and measured weekly: * Software shipped - enterprise-grade features reaching releases Fortune 100 customers can rely on, at a throughput that replaces a team; no regressions, no reopened work. * Bottlenecks removed - the human intervention each class of work needs trends down, not sideways, because you keep building leverage into the agents and sharing it. * Standards enforced - what the team ships clears our quality gates (AI review against our guidelines, plus human review and evals) first-pass, consistently. * Risks surfaced early - architectural and delivery risks flagged ahead of the customer-impact window, not after. No token limits. No tooling limits. If the right answer is a better model, a different agent configuration, or a tool not yet in our stack, that conversation is always open. What we ask in return is simple: turn that leverage into enterprise-grade software a Fortune 100 brand can trust, and into a system that gets sharper every week. ## Related Videos - [The Intent Engineer: Closing the Gap Between Business & Engineering - Manuel Klein](https://www.wearedevelopers.com/videos/1855-the-intent-engineer-closing-the-gap-between-business-engineering-manuel-klein) - [Containers in the cloud - State of the Art in 2022](https://www.wearedevelopers.com/videos/410-containers-in-the-cloud-state-of-the-art-in-2022) - [Same Words, Different Worlds: Who's in Control?](https://www.wearedevelopers.com/videos/2071-same-words-different-worlds-who-s-in-control) - [Green Cloud Computing](https://www.wearedevelopers.com/videos/592-green-cloud-computing) - [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/videos/100004-the-ai-native-engineering-org-what-s-real-what-s-hype-what-s-next) - [Reliable scalability: How Amazon.com scales on AWS](https://www.wearedevelopers.com/videos/983-reliable-scalability-how-amazon-com-scales-on-aws) ## Related Articles - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Never delegate the understanding](https://www.wearedevelopers.com/magazine/749-never-delegate-the-understanding) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)