AI Engineer

Vantor Inc. is hiring an AI Engineer (onsite) to build AI applications and agentic automation that strengthen customer documentation 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 convert 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, moving from prototype to reliable production deployment with appropriate testing, evaluation, observability, safeguards, and human oversight.
• Collaborate with technical writers, software engineers, product teams, support teams, and other stakeholders to identify automation opportunities and translate business needs into technical solutions.
• Evaluate and apply emerging AI models, agent frameworks, protocols, and development tools to improve documentation workflows and make technical knowledge more accessible.

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 ability to translate ambiguous business needs into practical technical solutions and communicate effectively with technical and non-technical stakeholders.

Technologies

• Python
• LLMs
• Generative AI
• Tool/function calling
• APIs
• SDKs
• Web services
• CI/CD
• Model Context Protocol (MCP)
• OpenAPI

Preferred Qualifications

• 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.

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

Eligibility

• Must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.
• 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).

Pay Transparency

• Base pay for Colorado: $128,000.00 - $170,000.00 - $187,000.00 annually
• Other states: geographic cost of labor used to develop market-driven ranges; ranges may vary by location

Application Window

• The application window is three days from the date the job is posted and remains posted until a qualified candidate is identified.
• If reposted, it remains posted for three days from the repost date and continues until a qualified candidate is identified.