Healthcare AI Engineer

Mindoula Health

Healthcare AI Engineer

Remote,
Full Time
Paid
  • Responsibilities

    Mindoula is a next-generation behavioral health company improving outcomes for populations with complex behavioral, medical, and social challenges. We are building the future of behavioral health through technology, data science, and high-impact care delivery.

    We're seeking an AI Engineer with strong Ruby on Rails expertise to join our growing technology team. This role will focus on building cloud-native, AI-enabled web applications that power our proprietary behavioral health platforms. You'll collaborate across engineering, product, and data science teams to turn prototypes into production-grade systems that drive real-world clinical and operational outcomes.

    Essential Duties and Responsibilities:

    • Lead development of cloud-based Ruby on Rails applications that integrate AI/ML (GenAI, predictive models, NLP) capabilities using frameworks like LangChain.
    • Build LLM-powered agents using modern agentic frameworks such as LangChain, LlamaIndex, or CrewAI to enable advanced automation and reasoning capabilities in Mindoula's behavioral health technology platform.
    • Collaborate with data scientists to turn models into robust, scalable APIs and user-facing tools within our Rails ecosystem.
    • Design and implement web application features that enable care teams to engage members more effectively using AI-driven insights.
    • Architect secure, performant backend services and relational databases in a HIPAA-compliant environment.
    • Ensure robust DevOps, testing, and monitoring pipelines for AI features in production.
    • Translate clinical, business, and user requirements into full-stack solutions, balancing speed, safety/governance, and sustainability.
    • Establish processes for human-in-the-loop feedback, governance, and review cycles to ensure AI applications remain safe, ethical, and aligned with clinical, business, and user needs.
    • Contribute to build vs. buy/license decisions by evaluating technology options, defining criteria, and advising on trade-offs for AI applications .
    • Document development patterns, model interfaces, and deployment pipelines to support collaboration and continuity.
    • Participate in agile ceremonies, sprint planning, and cross-functional brainstorms with product, clinical, and operations teams.

    Education & Work Experience:

    • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
    • 3+ years of professional experience building and maintaining Ruby on Rails applications, preferably in a cloud-native environment.
    • Strong familiarity with Gen AI foundation models framework like LangChain, PostgreSQL, Redis, Sidekiq, and RESTful API design.
    • Solid understanding of modern JavaScript frameworks (e.g., React) and front-end integration.
    • Developed and integrated RESTful APIs to interact with AWS Bedrock foundation models (e.g., Claude, Meta), enabling AI-driven application features
    • Familiarity with AWS (ECS, RDS, Bedrock, S3, Lambda) or comparable cloud environments.

    Additional Requirements:

    • Passion for delivering software that impacts real lives, especially for vulnerable or underserved populations.
    • Experience integrating AI/ML models (e.g., GenAI, NLP, recommender systems) into web applications.
    • Understanding of data security, user permissions, and audit trails in a healthcare or regulated setting.
    • Strong git workflow, testing practices, and familiarity with CI/CD tools (e.g., GitHub Actions, CircleCI).
    • Familiarity with and enthusiasm for the healthcare technology/AI ecosystem, including key players, providers, and emerging trends.
    • Curiosity, self-direction, and comfort with ambiguity in a fast-moving startup environment.
    • Excellent communication skills and a collaborative mindset.

    Location: This is a 100% remote position that must be located in the United States. Mindoula is not able to provide any employment sponsorship at this time.