Senior AI Engineer & Full-Stack Architect

Ace Wellness Center

8h•$85 - $110•Remote

About The Position

We are building the future of mental wellness through artificial intelligence. Our mission is to create the world’s first AI-powered Mental Wellness University, where individuals learn evidence-based skills to improve emotional health through personalized curricula, interactive coaching, and clinically informed AI guidance. This is not another chatbot. We’re creating an intelligent platform that conducts AI-assisted psychological evaluations, develops personalized learning plans, delivers structured mental wellness courses, tracks progress, and empowers people to build lifelong emotional resilience. We are seeking an exceptional Senior AI Engineer & Full-Stack Architect to become the founding technical leader of our platform. You will design and build the first version of an AI-powered behavioral health platform capable of: Conducting AI-guided psychological intake interviews. Drafting Psychological Diagnostic Evaluations (PDEs) for clinician review. Generating personalized treatment plans and learning pathways. Delivering interactive AI coaching and educational courses. Tracking client outcomes and engagement. Supporting clinicians through intelligent documentation and workflow automation. This role is ideal for someone who enjoys building innovative products from the ground up and wants to have a meaningful impact on the future of mental health technology.

Requirements

5+ years of full-stack software development experience.
Strong experience with modern JavaScript frameworks such as React or Next.js.
Strong backend development experience using Python.
Experience building REST APIs.
Experience designing relational databases.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Experience integrating large language models into production applications.
Experience with AI agent frameworks or equivalent orchestration approaches.
Experience deploying scalable web applications.
Strong understanding of software architecture.
Excellent communication skills.
Ability to work independently in a startup environment.

Nice To Haves

Experience building healthcare software.
Familiarity with HIPAA and healthcare security considerations.
Experience developing conversational AI.
Experience with voice AI integrations.
Mobile application development experience.
Experience building SaaS products.
Startup experience from concept through launch.
Experience with Retrieval-augmented generation (RAG).
Experience with AI evaluation frameworks.
Experience with Vector databases.
Experience with LangGraph, LangChain, or similar AI orchestration tools.
Experience with Speech-to-text and text-to-speech systems.
Experience with Avatar or digital human technologies.
Experience with Analytics dashboards.
Experience with Payment platform integrations.

Responsibilities

Design and develop sophisticated AI workflows using large language models.
Build conversational AI agents capable of conducting structured behavioral health interviews.
Develop AI systems that generate draft clinical documentation for licensed clinician review.
Optimize AI performance through prompt engineering, testing, and evaluation.
Improve response quality, personalization, and safety over time.
Build scalable AI agent architectures.
Design and build the web application.
Develop mobile applications for iOS and Android.
Build secure authentication and user management.
Develop clinician and client dashboards.
Create APIs and backend services.
Build databases and cloud infrastructure.
Implement role-based permissions and audit logging.
Integrate AI services into the platform.
Design scalable cloud architecture.
Ensure high availability and performance.
Implement encryption and security best practices.
Optimize system reliability and maintainability.
Build for future scalability.
Work directly with the Founder to translate behavioral health expertise into an innovative AI platform.
Participate in product strategy, feature planning, user experience discussions, technical architecture decisions, AI capability planning, and long-term product roadmap.