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: