Senior Backend Developer; AI & LLM Focus

The Role

Advision Development is looking for a Senior Backend Developer to architect and build the next generation of our services. This role is ideal for an engineer who is not only proficient in traditional backend development but is also excited by the potential of AI and LLM tools to solve complex problems and accelerate development. You will be a key player in designing and implementing robust APIs, managing databases, and ensuring the scalability and reliability of our platform, all while supporting the needs of our frontend team.

• Design, develop, and maintain scalable, high-performance backend systems and APIs.
• Integrate modern AI and LLM tools into our development lifecycle to solve real-world problems and improve efficiency.
• Architect robust backend solutions that effectively support frontend requirements and ensure seamless user experiences.

• Develop and maintain server-side logic using modern backend technologies (PHP, Python, Golang, Node.js).
• Build and support RESTful APIs and other services required for frontend applications.
• Collaborate with frontend developers to define API contracts and resolve integration issues.
• Research, prototype, and implement solutions using AI / LLM technologies for tasks such as code generation, data analysis, and process automation.
• Write clean, well-documented, and testable code within a production environment.
• Mentor junior developers and contribute to establishing best practices and coding standards.

• 5+ years of professional experience building and maintaining applications in a production environment.
• Strong proficiency with at least one modern backend language (e.g., PHP, Python, Golang, Node.js).
• Experience supporting frontend development needs with a solid understanding of JavaScript and how backend services interact with the client-side.
• A proven track record of architecting solutions, not just implementing them.
• Must be based in the Austin, TX area and available for occasional on-site collaboration.

• Hands‑on experience with AI‑powered code generation tools like Git Hub Copilot, Firebase Genkit, or Amazon Code Whisperer.
• Experience working with large language models (LLMs) via APIs.
• Prior experience developing for or working with Word Press environments.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).