AI Content Engineer

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next.  Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can:
Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.

Export Control/ITAR:
Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).Please review the job details below.

Senior AI Engineer Position Summary 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.

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, andother stakeholders to identify automation opportunities and translate business needsinto 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.

Required Qualifications
• 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 AIagents, 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…