Healthcare AI Engineer
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Job Description
AI Engineer focused on building AI-enabled applications for Mindoula's behavioral health technology platform. Collaborating across teams to develop robust, scalable systems for clinical outcomes.
Responsibilities:
- Lead development of cloud-based Python 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
- Design and implement application features that enable care teams to engage members more effectively using AI-driven insights
- Architect secure, performant backend services and 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
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 3+ years of professional experience building and maintaining Python applications (FastAPI, Flask, or Django), preferably in a cloud-native environment
- Strong familiarity with Gen AI foundation model frameworks like LangChain and modern Python async programming
- Experience with relational databases (PostgreSQL, MySQL) and caching solutions (Redis)
- Proficiency with async frameworks, Celery or RQ for background jobs, and FastAPI/Flask for API development
- Experience with Python web frameworks and RESTful API design patterns
- 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
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