Agentic Engineering Platform Engineer is a AI Platform Engineer role (full-time). with n8n. in REMOTE, WORLDWIDE. Compensation shown: $99K–$185K (est.). Imported listing (source: feeny.ai). Apply on the employer's site (feeny.ai).
Imported listing (source: feeny.ai) · Apply on feeny.ai
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Imported job description
Sourced from feeny.ai
n8n is hiring an Agentic Engineering Platform Engineer to make its engineering organization AI-native by embedding autonomous coding agents across the development lifecycle. You will build the platform foundations, guardrails, and workflows that let agents safely plan, build, test, and review code. Working across Developer Platform, Security, AI/Agents, and product engineering, you will define safe task categories, isolated execution environments, and measurable quality signals for agentic development.
Responsibilities
Define safe task categories and guardrails for autonomous coding agents, including what they can attempt and where human review is required.
Design and implement isolated execution environments where agents can work without exposing secrets or sensitive systems.
Build pilot workflows that let agents pick up selected Linear issues, test them, and produce useful draft PRs.
Create and maintain repo instructions, agent playbooks, ownership metadata, and coding guidelines to improve agent performance.
Integrate agentic workflows with Linear, GitHub, CI, test infrastructure, and developer review processes.
Design PR evidence templates that clarify changes, tests run, remaining risks, and where human judgment is needed.
Partner with Security, AI/Agents, Developer Platform, and product engineering to define guardrails for auth, billing, permissions, and data handling.
n8n is a privately held workflow-automation software company combining AI capabilities with business-process automation. Its fair-code platform connects applications and APIs, supports self-hosting, and combines visual no-code building with JavaScript or Python customization.
Create benchmarks from historical engineering tasks to evaluate agent output quality, failure modes, test pass rates, and review burden.
Define and track quality and adoption metrics such as draft PR usefulness, reviewer acceptance, CI pass rate, rework rate, and developer satisfaction.
Requirements
Experience with autonomous coding agents, AI coding platforms, agent orchestration systems, or internal AI developer tooling.
Practical experience building, deploying, or operating AI-assisted or agentic software development workflows.
Strong software engineering background, ideally in platform engineering, developer experience, infrastructure, tooling, CI/CD, or engineering productivity.
Comfort leading a first-of-a-kind technical initiative from problem definition through pilot, adoption, measurement, and iteration.
Deep understanding of GitHub, CI, testing strategies, code review, monorepos, issue tracking, developer environments, and release risk.
Strong judgment around permissions, secrets, sandboxing, sensitive code paths, and human-in-the-loop review.
Ability to design benchmarks, quality signals, failure-mode tracking, and adoption metrics.
Strong written communication for repo instructions, playbooks, PR evidence templates, technical proposals, and alignment documents.
Credibility with senior engineers and ability to influence across Platform, Product Engineering, AI, Security, and Architecture without formal authority.
Nice to Have
Experience in a large TypeScript, Node.js, or JavaScript monorepo.
Experience with GitHub Actions, Linear, automated testing infrastructure, preview environments, or internal developer platforms.
Experience with sandboxing, secrets management, least-privilege access, or sensitive code ownership.
Experience creating evaluation frameworks, benchmarks, or quality metrics for AI-generated code or automation systems.
Experience contributing to open-source or source-available projects with active developer communities.
Understanding of B2B SaaS environments where reliability, permissions, data handling, and customer trust are central.
Familiarity with workflow automation, integration platforms, AI orchestration, or developer-facing products.
Benefits
Equity / stock optionsremote firstLearning & developmentopen source stipendpaid time offHealth insuranceretirement plan
