Job Description

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 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

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 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

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 (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 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. 

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