SEO Agent Engineer

Responsibilities

Build SEO agent workflows from keywords and page creation to indexing and conversion. 1. Own keyword discovery, page diagnosis, content processing, internal linking recommendations, and publishing checks in real Atoms scenarios. Take work from solution design and launch through review, using indexing, rankings, organic traffic, and conversions to assess effectiveness. 2. Turn validated SEO methods into Agent tasks, tools, and interfaces. Define inputs and outputs, error handling, and evaluations so Atoms users can reliably reuse these capabilities. 3. Build scalable page generation, updating, and lifecycle management. Manage templates, fields, URLs, internal links, and sitemaps, maintaining page quality based on search demand, indexing performance, and user value. 4. Integrate technical SEO checks into publishing, covering canonical URLs, metadata, heading tags, structured data, robots.txt, XML sitemaps, and performance. Add validation and rollback for high-risk changes. 5. Connect crawlers, Google Search Console, GA4, and CMS data. Track how page changes affect crawling, indexing, rankings, clicks, and conversions and use results to improve the Agent.

Qualifications

You can break down ambiguous SEO and product problems, build solutions, and validate them on real sites and traffic. Use AI coding tools such as Claude Code and Codex in daily work while owning page quality, data definitions, and code correctness through tests, evaluations, and reviews. You can read English technical documentation. 1. Bachelor's degree or above and 3+ years of software development experience. You have independently launched a service, tool, or product from scratch and can explain your contribution, technical decisions, and results. 2. Backend or full-stack skills in at least one of Python, Go, or JavaScript / TypeScript. You can independently build APIs, services, data processing, tests, and deployments. 3. A shipped LLM or Agent application involving several of tool calling, workflows, state management, error handling, evaluations, or production monitoring. Your work goes beyond calling a model API or building a UI. 4. Practical project experience in at least one of web crawling, technical SEO, programmatic SEO, or CMS automation. You understand HTML, rendering, crawling and indexing, and common technical SEO issues; expertise in every area is not required. 5. Familiarity with API integrations, data processing, and SQL. You can build traceable data pipelines and analyze organic traffic, indexing, rankings, and conversions to identify problems and validate changes. Nice to have Experience with large-scale pages, international SEO, organic search growth, SaaS, developer products, or AI applications. Show project links, key metrics, or review materials and explain your contribution.

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