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AI Full Stack Developer

AllOne Health · United States · 5 days ago
RemoteRemoteEngineeringFull-time

Position Summary

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.

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

  • Five (5) or more years of professional software engineering experience after completing your bachelor's degree.

  • Production experience shipping React/TypeScript frontends.

  • Production experience shipping Node.js/Express backends.

  • Production experience integrating an LLM API (Anthropic Claude, Azure OpenAI, OpenAI direct, or equivalent) into a real system that real users used. You should be able to describe the rate limit, the failure modes, and the fallback strategy you used.

  • Prototype quickly, then harden for production: monitoring, logging, evaluation, and performance optimization.

  • Implement guardrails for AI systems including prompt safety, data protection, hallucination mitigation, and output validation.

  • Write and maintain automated tests including unit, integration, and AI-assisted test generation.

  • Comfort with Microsoft Azure deployment (Azure App Service, Azure Functions, or Azure Kubernetes Service) OR comparable experience with another major cloud provider with a stated willingness to ramp on Azure within the first 90 days.

  • Comfort with relational databases (MySQL, Microsoft SQL Server, PostgreSQL, or equivalent).

  • Apply secure coding practices and DevSecOps principles throughout the development lifecycle.

  • Partner with security and compliance on responsible AI usage, PHI data governance, HIPAA requirements, and the practical implications of healthcare data handling.

  • Produce clear documentation for codebases, APIs, and AI integrations.

  • Work closely with product owners, designers, and architects to translate business requirements into technical solutions.

  • Stay current with emerging AI technologies and recommend practical adoption opportunities.

  • Strongly Preferred: Direct experience with Anthropic's Claude API (Messages API, tool use, prompt caching) or Azure OpenAI Service.

  • Experience building AI agent workflows, multi-agent orchestration, or tool-calling systems.

  • Experience with Model Context Protocol (MCP) servers, Claude Code, or agentic coding tools as part of your own development practice.

  • Behavioral health, mental health, or employee assistance program domain knowledge.

  • Prior healthcare experience with PHI handling, HITRUST certification work, or HITECH compliance.

  • Mobile experience (iOS/Android via React Native, native Swift/Kotlin, or comparable).

  • Prior on-call rotation experience for a HIPAA-regulated production service.

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