Agentic Platform Engineer - AI-Driven Dev Tools

n8n; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive compensation

Ownership with equity

Remote-first with high autonomy

Vacation (US) 20 days + holidays

401(k) retirement plan with employer 4

Healthcare plans + wellness benefits

Professional development funds €1K per

Hackathons and open-source support

Job summary

n8n is hiring an Agentic Engineering Platform Engineer to keep our AI-native engineering org thriving. You’ll shape safe agent behaviors, evolve platform foundations, and improve developer workflows with a focus on measurable safety and adoption metrics.

You’ll work across Security, AI/Agents, Platform, and Architecture to define boundaries, guardrails, and better integration of agents into engineering, while maintaining visibility through faster feedback, higher quality, and resilience.

Qualifications

• Must-haves: Autonomous coding agents, agent orchestration, or internal AI developer tooling.
• Must-haves: Practical experience building, deploying, or operating AI-assisted or agentic software development workflows with developers.
• Must-haves: Strong software engineering background in platform engineering, developer experience, infrastructure, tooling, CI/CD, or productivity."
• Must-haves: Comfortable leading unique technical initiatives from problem definition through pilot, adoption, and iteration.
• Must-haves: Deep understanding of GitHub, CI, testing strategies, code review, monorepos, issue tracking, developer environments, and release risk.
• Must-haves: Strong judgment around permissions, secrets, sandboxing, sensitive code paths, and human-in-the-loop review.
• Must-haves: Ability to design benchmarks, quality signals, failure tracking, and adoption metrics.
• Must-haves: Strong written communication for repo instructions, playbooks, PR templates, proposals, and alignment docs.
• Must-haves: Credibility with senior engineers to influence Platform, Product Engineering, AI, Security, and Architecture.

Responsibilities

• Define safe task categories for autonomous agents, including what they can attempt and what requires review.
• Design and implement isolated execution environments to protect secrets and limit access.
• Build pilot workflows to have selected Linear issues picked up by agents and drafted into PRs.
• Create and maintain repo instructions, agent playbooks, ownership metadata, coding guidelines, and docs to improve agent performance.
• Improve developer workflows, repo structure, testability, and documentation based on agent outcomes.
• Partner with Architecture to define boundaries, dependencies, and areas needing more context or constraints.
• Integrate agentic workflows with Linear, GitHub, CI, test infrastructure, and reviewer processes.
• Design PR evidence templates to explain changes, tests, risks, and human judgment needs.
• Collaborate with Security, AI/Agents, Platform, and Product Engineering to define guardrails for auth, billing, permissions, and data handling.
• Create benchmarks from historical tasks to evaluate agent output quality, failure modes, tests, and production risk.
• Define quality signals and adoption metrics like draft PR usefulness, reviewer acceptance, CI pass rate, and rework rate.
• Use pilot data to improve agent workflows and reduce unsafe attempts while boosting trust.

Skills

Autonomous coding agents

Agentic development

Engineering foundations

Ambiguity leadership

Modern workflows

Safety judgment

Measurable systems

Clear communication

Cross-functional influence

Tools

GitHub

CI/CD

Monorepos

Job description

n8n is hiring an Agentic Engineering Platform Engineer to keep our AI-native engineering org thriving. You’ll shape safe agent behaviors, evolve platform foundations, and improve developer workflows with a focus on measurable safety and adoption metrics.

You’ll work across Security, AI/Agents, Platform, and Architecture to define boundaries, guardrails, and better integration of agents into engineering, while maintaining visibility through faster feedback, higher quality, and resilience.