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