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, 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.

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 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.

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.

Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role.

• The base pay for this position within Colorado is: $98,000.00 - $130,000.00 - $143,000.00 annually.
  
  

For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers

Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions.

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.