[Hiring] AI Full Stack Developer @AllOne Health

Role Description

We are currently seeking an AI Full Stack Developer to work remotely. This is a full-time, exempt position.

The AI‑Enabled Full Stack Developer plays a critical role in designing, developing, and maintaining scalable, secure, and high‑quality applications while leveraging modern AI tools and platforms to accelerate delivery and improve application intelligence. This role is responsible for end‑to‑end front‑end and back‑end development and for integrating AI‑driven capabilities such as intelligent automation, AI agents, and large language model (LLM) services into enterprise applications.

This position requires a strong foundation in full stack development combined with hands‑on experience using AI‑assisted coding tools, AI APIs, and emerging AI enablement frameworks. The developer collaborates closely with cross‑functional teams to deliver innovative, maintainable, and performant solutions that align with business objectives.

Key Accountabilities & Duties

• Front‑End Development: Design and develop responsive, user‑friendly web interfaces using HTML, CSS, JavaScript, and modern frameworks such as React or Angular.
• Back‑End Development: Build and maintain server‑side logic, APIs, and services using technologies such as Node.js, Express, and supporting frameworks, ensuring scalability and reliability.
• AI‑Enabled Application Development: Integrate AI services and capabilities into applications, including LLM APIs, AI agents, intelligent search, summarization, recommendations, and workflow automation. Prototype quickly, then harden solutions for production with monitoring, logging, evaluation, and performance optimization.
• AI‑Assisted Coding & Tooling: Leverage AI coding tools (e.g., copilots, code generation, refactoring, and test generation tools) to improve development speed, code quality, and maintainability. Implement guardrails for AI systems including prompt safety, data protection, hallucination mitigation, access control, and output validation.
• System Integration: Seamlessly integrate front‑end, back‑end, AI services, and third‑party systems to deliver cohesive and performant user experiences.
• Testing & Quality Assurance: Write, execute, and maintain automated tests, including unit, integration, and AI‑assisted test generation, to ensure application stability and reliability.
• Maintenance & Optimization: Maintain and enhance existing applications, optimizing performance, security, and scalability while incorporating AI‑driven improvements where appropriate.
• Security & Compliance: Apply secure coding practices, understand SecDevOps principles, and ensure compliance with data privacy and security standards, particularly when working with AI and data‑driven features. Partner with security and compliance teams to ensure responsible AI usage, data privacy, and governance.
• Collaboration: Work closely with product owners, designers, architects, and other developers to deliver solutions aligned with business requirements and technical standards.
• Documentation: Produce clear documentation for codebases, APIs, AI integrations, and development processes to support maintainability and knowledge sharing.
• Continuous Improvement: Stay current with emerging AI technologies, frameworks, and development practices, and recommend practical adoption opportunities to enhance the development lifecycle. Mentor and upskill existing developers on AI concepts, patterns, and best practices.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Minimum of 3+ years of experience in full stack development.
• Strong proficiency in front‑end technologies: HTML, CSS, JavaScript, TypeScript, and React frameworks.
• Strong proficiency in back‑end technologies: Node.js, Express, and experience with RESTful APIs.
• Experience with database technologies such as Microsoft SQL Server databases.
• Hands‑on experience integrating AI or machine‑learning‑based services, including LLM APIs, AI agents, or intelligent automation features.
• Experience with prompt engineering, prompt versioning, and evaluation techniques.
• Familiarity with AI‑assisted development tools (e.g., code copilots, automated testing, code analysis, or refactoring tools).
• Experience with cloud platforms (Azure) and deploying AI‑enabled applications in cloud environments.
• Understanding of data formats such as JSON, XML, and document-based data.
• Understanding of DevOps and DevSecOps practices, including version control with Git, CI/CD pipelines, and containerization tools.
• Strong problem‑solving skills and ability to troubleshoot complex technical issues.
• Excellent verbal and written communication skills for collaboration and documentation.
• Ability to translate business problems into AI-driven technical solutions.

Benefits

• Immediate medical (Blue Cross/Blue Shield), dental, and vision insurance is available.
• Desirable work schedules and a generous amount of Paid Time Off.
• 401(k) retirement program with a company match.
• Employee Assistance Program (EAP) benefits are available to you and your family.
• …and many more!