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 Python expertise to join our growing technology team. This role will focus on building cloud-native, AI-enabled 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 Python applications that integrate AI/ML (GenAI, predictive models, NLP) capabilities using frameworks like LangChainBuild 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 platformCollaborate with data scientists to turn models into robust, scalable APIs and user-facing toolsDesign and implement application features that enable care teams to engage members more effectively using AI-driven insightsArchitect secure, performant backend services and databases in a HIPAA-compliant environmentEnsure robust DevOps, testing, and monitoring pipelines for AI features in productionTranslate clinical, business, and user requirements into full-stack solutions, balancing speed, safety/governance, and sustainabilityEstablish 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 needsContribute to build vs. buy/license decisions by evaluating technology options, defining criteria, and advising on trade-offs for AI applicationsDocument development patterns, model interfaces, and deployment pipelines to support collaboration and continuityParticipate 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 field3+ years of professional experience building and maintaining Python applications (FastAPI, Flask, or Django), preferably in a cloud-native environmentStrong familiarity with Gen AI foundation model frameworks like LangChain and modern Python async programmingExperience with relational databases (PostgreSQL, MySQL) and caching solutions (Redis)Proficiency with async frameworks, Celery or RQ for background jobs, and FastAPI/Flask for API developmentExperience with Python web frameworks and RESTful API design patternsSolid understanding of modern JavaScript frameworks (e.g., React) and front-end integrationDeveloped and integrated RESTful APIs to interact with AWS Bedrock foundation models (e.g., Claude, Meta), enabling AI-driven application featuresFamiliarity 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 populationsExperience integrating AI/ML models (e.g., GenAI, NLP, recommender systems) into web applicationsUnderstanding of data security, user permissions, and audit trails in a healthcare or regulated settingStrong git workflow, testing practices (pytest, unittest), 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 trendsCuriosity, self-direction, and comfort with ambiguity in a fast-moving startup environmentExcellent 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.