Healthcare AI Engineer

Job Description: • 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 Benefits: Apply tot his job