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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

PythonAI/MLGenAINLPFastAPIFlaskDjangorelational databasesRESTful API designJavaScript

collaborationcommunicationproblem-solvingagile methodologyleadershiporganizational skillscritical thinkingadaptabilityethicsgovernance

Bachelor's degree in Computer ScienceMaster's degree in Computer ScienceEngineering degree