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AI Content Engineer

VantorWestminster, Colorado🇺🇸United StatesPosted 25 Aug 2026

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Westminster, Colorado, United States
GCPNext.jsAWSAgileAzureContinuous ImprovementGitJavaLLMPythonRESTReact

Job Description

Vantor seeks an AI Content Engineer to build and optimize AI-driven content workflows for modern web and software solutions. You'll design prompts, pipelines, and integrations using LLMs and automation to support data-rich, scalable digital products. Working in agile teams, you'll partner with engineers, designers, and clients to translate business needs into reliable, high-quality content experiences. You'll contribute to cloud-based architectures, reusable tooling, and continuous improvement while learning across full stack, data, and AI platforms in a collaborative, low ego environment.

Responsibilities

  • Design and implement AI-assisted content generation pipelines for web and software products
  • Develop, test, and optimize prompts, templates, and workflows for LLM-driven features
  • Collaborate with engineers, designers, and clients to translate business goals into content and data solutions
  • Integrate AI and automation into modern web stacks and cloud-native architectures
  • Monitor performance, quality, and reliability of AI content outputs; iterate based on results and feedback
  • Contribute to code reviews, documentation, and reusable components for content and data tooling
  • Apply agile practices, participate in standups, and own deliverables from concept through deployment
  • Research and evaluate emerging AI/ML tools, APIs, and frameworks to enhance the platform

Required Skills

  • Prompt engineering for large language models
  • Python or Type
  • Script/Java
  • Script programming
  • API design and integration (REST/Graph
  • QL)
  • Cloud platforms (AWS, Azure, or GCP)
  • Modern web frameworks (React, Next.js, or similar)
  • CI/CD and Dev
  • Ops basics
  • Data modeling and JSON/structured content design
  • Version control with Git and Git-based workflows
  • Unit and integration testing for services and pipelines
  • Monitoring, logging, and performance tuning

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