[Remote] AI Full Stack Developer

Note: The job is a remote job and is open to candidates in USA. AllOne Health is a leader in workplace behavioral health, emphasizing the importance of employee well-being for organizational success. They are seeking an AI Full Stack Developer to design, develop, and maintain AI-enabled applications, integrating modern AI tools into both front-end and back-end development. Responsibilities Design and develop responsive, user‑friendly web interfaces using HTML, CSS, JavaScript, and modern frameworks such as React or AngularBuild and maintain server‑side logic, APIs, and services using technologies such as Node.js, Express, and supporting frameworks, ensuring scalability and reliabilityIntegrate 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 optimizationLeverage 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 validationSeamlessly integrate front‑end, back‑end, AI services, and third‑party systems to deliver cohesive and performant user experiencesWrite, execute, and maintain automated tests, including unit, integration, and AI‑assisted test generation, to ensure application stability and reliabilityMaintain and enhance existing applications, optimizing performance, security, and scalability while incorporating AI‑driven improvements where appropriateApply 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 governanceWork closely with product owners, designers, architects, and other developers to deliver solutions aligned with business requirements and technical standardsProduce clear documentation for codebases, APIs, AI integrations, and development processes to support maintainability and knowledge sharingStay 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 Skills Five (5) or more years of professional software engineering experience after completing your bachelor's degree. Internships and co-ops do not count toward this minimumProduction experience shipping React/TypeScript frontends. We will ask you to walk through a specific PR you wrote in your last roleProduction experience shipping Node.js/Express backends. We will ask you about middleware, error handling, and graceful degradationProduction 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 usedPrototype quickly, then harden for production: monitoring, logging, evaluation, and performance optimizationImplement guardrails for AI systems including prompt safety, data protection, hallucination mitigation, and output validationWrite and maintain automated tests including unit, integration, and AI-assisted test generationComfort 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 daysComfort with relational databases (MySQL, Microsoft SQL Server, PostgreSQL, or equivalent). You will own SQL queries that a real clinician depends on; you should know what an execution plan is and when to look at oneApply secure coding practices and DevSecOps principles throughout the development lifecyclePartner with security and compliance on responsible AI usage, PHI data governance, HIPAA requirements, and the practical implications of healthcare data handlingProduce clear documentation for codebases, APIs, and AI integrationsWork closely with product owners, designers, and architects to translate business requirements into technical solutionsStay current with emerging AI technologies and recommend practical adoption opportunitiesUS-based, currently authorized to work in the US without employer-sponsored work authorization (now or in the future). This role does not offer H-1B, OPT, or other employer-sponsored work visasDirect experience with Anthropic's Claude API (Messages API, tool use, prompt caching) or Azure OpenAI ServiceExperience building AI agent workflows, multi-agent orchestration, or tool-calling systemsExperience with Model Context Protocol (MCP) ser