Junior AI and Automation Engineer

Role overview Help build and support AI-enabled applications and workflow automations that reduce manual work across business operations. Working with guidance from experienced engineers, you’ll turn defined requirements into tested, documented solutions, contribute to internal tools and integrations, and develop your engineering skills. The role requires being based in the United States, with travel of up to 10% possible.

Responsibilities - Build and maintain workflow automations, scripts, and integrations using established designs and practices. - Configure and refine GPTs, AI agents, prompts, and tools, with review from the team. - Connect applications through approved APIs, connectors, and webhooks; assist with preparing and transforming data. - Prepare internal knowledge sources and evaluate the results used by AI applications. - Test solutions, support user acceptance testing, document findings, and incorporate stakeholder feedback. - Monitor existing workflows, troubleshoot routine failures, document support procedures, and escalate complex issues.

Requirements - 0–2 years of relevant experience in software, automation, AI, or a related technical field; coursework, internships, and personal projects count. - Foundational programming skills, preferably in Python, including the ability to read, write, and debug simple scripts. - Basic understanding of APIs, JSON, and how applications exchange data. - Practical familiarity with generative AI tools and prompting, including checking outputs for accuracy and usefulness. - Careful troubleshooting habits, attention to detail, and clear communication with technical and non-technical colleagues. - Awareness of data privacy, access controls, and secure handling of business information.

Nice to have - Exposure to workflow or agent-building tools such as Power Automate, StackAI, or Zapier. - Familiarity with Microsoft 365, SharePoint, Microsoft Graph, Azure, or Copilot Studio. - Exposure to Git, JavaScript or TypeScript, PowerShell, retrieval-augmented generation, or Model Context Protocol.

Benefits and work setup - United States-based position with up to 10% travel. - Benefits listed include unlimited paid time off, incentive compensation, employer-funded retirement contributions, employer-covered health insurance, paid parental leave, and an annual device reimbursement of up to $500. - Ongoing one-to-one coaching, performance reviews, and regular feedback.