IT Full Stack Developer - AI Enablement
Cretex Companies, Inc.
- Elk River, MN
- Permanent
- Full-time
- Stand up and manage cloud environments (primarily AWS) for AI testing and development.
- Build and manage deployment scripts, infrastructure as code, APIs, and automation to support rapid iteration.
- Support model execution, data pipeline integration, and application hosting during MVP development.
- Implement CI/CD pipelines to enable consistent deployment and quality assurance across environments.
- Build and maintain lightweight tools, UIs, or services to make AI models usable for the business.
- Integrate AI-generated outputs into web-based tools, internal systems, or broader digital workflows.
- Collaborate with AI developers to ensure effective model deployment, packaging, and versioning.
- Contribute to the design and implementation of scalable, modular backend services using modern frameworks.
- Bachelor’s degree in computer science, engineering, or related field (or equivalent experience).
- Experience with cloud platforms (preferably AWS); knowledge of compute, storage, permissions, and networking.
- Hands-on experience with containerization and orchestration (Docker, Kubernetes).
- Experience with CI/CD tools and version control systems (e.g., Git, GitHub Actions, Jenkins).
- Proficient in building full stack solutions using modern languages and frameworks (e.g., React, FastAPI, Flask, Node.js).
- Experience working with databases such as PostgreSQL, MongoDB, or other relational/NoSQL systems.
- Comfortable writing Python and integrating with APIs and scripting environments.
- Interest in AI and willingness to work alongside data scientists and ML engineers.
- Prior experience in rapid prototyping, MVP development, or startup-style environments.
- Familiarity with MLOps concepts and workflows.
- Experience working with structured and semi-structured data in technical or business domains.
- Self-starter with curiosity about how AI and cloud platforms can transform business processes.
- Ability to explain technical concepts to non-technical stakeholders.