AI Content Engineer

Vantor • Westminster, CO

41d • $98,000 - $143,000

About The Position

As a Senior AI Engineer, you will build AI applications, agents, and automation that turn complex technical information into accurate, useful customer documentation. You will help us find practical ways to use AI to improve how documentation is created, maintained, published, and delivered. Working primarily with the Documentation team, you will use large language models (LLMs), agentic AI, and automation to improve content and publishing workflows, reduce manual effort, and make technical knowledge more accessible to customers and AI-powered applications. You will also have opportunities to apply these capabilities to other customer-facing workflows where AI and automation can improve efficiency and the customer experience. This role requires strong software engineering fundamentals and demonstrated experience building AI applications, agents, integrations, and automated workflows.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, a related technical discipline, or equivalent practical experience.
• Demonstrated software engineering experience building, integrating, and supporting production applications, services, or automation.
• Hands-on experience developing applications using LLMs and generative AI, including AI agents, agentic workflows, tool/function calling, and process automation.
• Strong programming skills in Python and/or another modern programming language, with experience integrating systems through APIs, SDKs, web services, and structured data.
• Experience with modern software engineering practices, including source control, automated testing, CI/CD, application observability, and production troubleshooting.
• Strong analytical and problem-solving skills with the ability to translate ambiguous business needs into practical technical solutions and communicate effectively with technical and non-technical stakeholders.
• U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.

Nice To Haves

• Experience building AI or automation solutions for technical documentation, developer content, content operations, knowledge management, or customer support.
• Experience with Model Context Protocol (MCP), including developing MCP servers or integrating MCP-enabled tools and resources with AI applications.
• Experience with API documentation platforms, automated API specification generation, and standards such as OpenAPI.
• Experience with documentation-as-code, structured content, content management systems, or automated documentation and publishing pipelines.
• Experience designing evaluation, governance, or human-in-the-loop approaches for LLM applications and agentic workflows.
• Understanding of technical writing, information architecture, developer documentation, and content lifecycle practices.

Responsibilities

• Design, build, test, and deploy AI applications, agents, and automated workflows that improve how technical documentation is created, maintained, published, and delivered.
• Develop AI-enabled content pipelines that transform developer documentation, API specifications, product information, and other technical sources into accurate, maintainable customer-facing content.
• Build integrations across documentation repositories, content and publishing platforms, source control systems, APIs, and other tools to automate documentation workflows and reduce manual effort.
• Design and implement agentic workflows and Model Context Protocol (MCP) servers that connect AI applications with documentation systems, technical content, APIs, tools, and enterprise workflows.
• Develop reusable AI capabilities and platform components, taking solutions from prototype through reliable production deployment with appropriate testing, evaluation, observability, safeguards, and human oversight.
• Partner with technical writers, software engineers, product teams, support teams, and other stakeholders to identify automation opportunities and translate business needs into practical technical solutions.
• Evaluate and apply emerging AI models, agent frameworks, protocols, and development tools that can improve documentation workflows or make technical knowledge more accessible and useful.

Benefits

• Robust 401(k) with company match
• Mental health resources
• Student loan repayment assistance
• Adoption reimbursement
• Pet insurance
• Incentive eligible with a target based on contribution, company performance, and/or individual results achieved

What This Job Offers

• Job Type: Full-time
• Career Level: Senior