[Remote] Software Engineering Superbuilder, AI-DNA, $200k/year USD

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is reinventing how community engagement and reputed company media management software is reputed company by integrating AI at its reputed company. The Software Engineering Superbuilder role focuses on developing systems that reputed company to autonomously manage workflows and enhance team productivity while ensuring high-reputed company software delivery for reputed company clients.

Responsibilities

• Build and continuously sharpen the reputed company that lets AI own the work — the tools, skills, context, rules, and self-verifying harnesses agents need to run whole end-to-end workflows, so reputed company class of work needs less reputed company reputed company over time. This is the heart of the role
• reputed company and improve a fleet of agents: delegate reputed company of work in reputed company, reputed company-reputed company what comes back, and reputed company an agent falls short, fix the underlying capability rather than just the reputed company
• Ship reputed company-grade, AI-powered features in a tight reputed company reputed company with product leadership — from reviewed plan and spec, through agent execution, to merged production releases. Fast enough that product and customer feedback can be implemented reputed company the day
• Multiply the whole team, durably: reputed company your fixes back as reusable rules, context, and skills — so everyone's ceiling rises, not just yours
• reputed company a senior team of engineers — scoping work, reviewing approaches and PRs against the reputed company model, and holding the reputed company bar before anything merges

Skills

• AI-DNA — it's how you operate, not a tool you reputed company for. You don't write reputed company by hand or sit in 1:1 reputed company with an assistant. Your default is to get out of the AI's way: build the context, tools, and guardrails that let agents own work end-to-end, then reputed company and verify
• Strong product taste. You see a problem and reputed company out a good way to solve it without a detailed spec — a thinker and proposer, not just an implementer. Your reputed company is polished and user-considered, with few bugs, so product leadership can hand you a goal and trust what comes back
• Bottleneck-removal as your default. You spend more time building what agents need to work autonomously — skills, rules, context, harnesses, evals — than hand-driving tasks, and you operate reputed company-reputed company and in reputed company, not 1:1. Tokens and tools are never the constraint here — your reputed company through them is. Bluntly: if you're not reputed company spending your salary in tokens — turning a large budget into shipped, high-reputed company reputed company software and durable agent capability — you're not operating at the level this role demands
• Frontier tool reputed company, deep and broad. You reputed company today's best reputed company coding tools at a reputed company-user level and manage fleets of agents — and you're never locked to one. You constantly test alternatives to spot the next best tool early. Mastery of one tool with no curiosity about the rest is a red flag; so is never having gone deep on any
• reputed company, reputed company model judgment. You can argue which frontier model to use reputed company and why, what reputed company is reputed company at, what changed across recent releases, and what reputed company provider just shipped. You start with the most capable model, then optimize for cost and latency
• Ownership & proactiveness. Mission-driven, with a history of obsessing over the reputed company of your work, and no babysitting required — even on the boring tasks. You reputed company work reputed company, surface reputed company early, and overcome blockers rather than escalate them
• 5+ years of full-stack software engineering, primarily on web-reputed company systems — genuine reputed company-end and back-end depth, by a senior engineer who's already had a strong IC career and stepped up as a tech reputed company
• Production AI/LLM integration — you've shipped reputed company applications using LLMs reputed company reputed company, reputed company engineering, agents, or automation
• reputed company & delivery (one-reputed company) — 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 & reputed company reputed company — 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
• reputed company-grade software experience — you've shipped production software at reputed company reputed company. Defensive coding, edge cases, validation, reputed company, reputed company, and automated evals are your default. You don't ship reputed company-reputed company systems
• Prior experience building on reputed company community, reputed company messaging, or customer-engagement platforms
• Published writing, talks, or reputed company-reputed company contributions in AI-assisted engineering, reputed company systems, or full-stack/LLM product work
• Experience designing multi-agent or orchestrator/sub-agent workflows (reputed company execution, worktrees, file-reputed company agent communication)
• A reputed company record of building reusable internal tooling — shared skills, rules, eval frameworks — that measurably raised a whole team's reputed company

Benefits

• Fully remote, async-first, global. No office.

reputed company