> Markdown version of [/jobs/ext/3539427-ai-engineer-agentic-systems](https://www.wearedevelopers.com/jobs/ext/3539427-ai-engineer-agentic-systems). 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). --- # AI Engineer - Agentic Systems - **Company:** Advanced - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Decision Support Systems, Software Engineering, Workflow Management Systems, Material UI - **Published:** September 30, 2026 - **Apply:** https://www.dice.com/job-detail/b8c7bd1c-ee2f-4aa2-a566-4046f11f471c ## About the Role * Strong software engineering fundamentals. * Hands-on experience in building applied AI capabilities, workflow tools, or agent-like systems. * Experience working with component libraries, shared utilities, or design system-based application development. * Strong understanding of transitioning from requirements and specs to implementation. * Strong judgment in balancing standardization, usability, and product-team flexibility. * Ability to navigate ambiguity and transform broad ideas into practical, usable internal capabilities., * Ability to create reusable skills supporting both factory workflows and application implementation., * Experience in improving shared implementation patterns, guidance, and decision support into reusable skills. ## Description * Build reusable core skills to support factory workflow, including requirements gathering, planning, accessibility review, and spec generation. * Create AI-assisted implementation skills to aid teams in using design system components and utilities correctly in application code. * Improve the translation of shared design system guidance into practical implementation workflows. * Collaborate with engineering and design teams to identify repetitive implementation issues that can be improved through reusable skills. * Define skills that enhance consistency, reduce rework, and expedite application delivery within design system boundaries. * Contribute to a shared AI capability model that supports both upstream definition work and downstream implementation work.