The Full Stack Developer will help connect the moving parts of our AI initiatives — from managing the cloud environment to building test tools and user-facing prototypes that bring AI solutions to life. This is a hands-on development role focused on building integrations, interfaces, and cloud infrastructure to support experimentation and early-stage digital products. This role will collaborate closely with AI developers, data engineers, and business stakeholders to create production-ready tools that drive business value.  This role is a great fit for someone who enjoys building, troubleshooting, and iterating quickly in an agile, growth-oriented environment.

Essential Job Functions                

Cloud Environment Setup

• 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.

Full Stack Development

• 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.

Minimum Requirements, Education & Experience (incl. KSA’s and certifications)

• 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.

Desirable Criteria & Qualifications

• 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.