Job Description

Job Description

Job Description

ABOUT BLUE PURPOSE

At Blue Purpose, our mission is to empower senior care providers through transformative software. We're not just building tools—we're reimagining how technology can enhance care. Our focus is development, strategy, and design to support the people who care for our aging population. If you're excited by a purpose-driven culture and meaningful tech, we want to hear from you.

We are seeking a forward thinking AI/ML Software Engineer with strong C#/.NET experience to help build the most powerful tool in Senior Care. You will drive real world impact through applied AI/ML solutions, guiding our transition into intelligent long-term care technology. You'll collaborate across teams, influence architecture, and deploy meaningful systems that enhance lives.

The AI/ML Software Engineer will have a solid background in software design using SOLID principles with HIPAA compliant datasets, and healthcare industry knowledge.

Job Location: This is a remote-first role , with preference for candidates based in Florida (Tampa/Orlando region) for occasional in-person team collaboration

Key Responsibilities

• Design, code, test, and troubleshoot intelligent applications using C#/.NET and AI/ML techniques
• Build, maintain, and optimize scalable AI/ML applications deployed on Azure
• Develop and operationalize Retrieval-Augmented Generation (RAG) workflows, vector database integrations, and feature pipelines to support LLM-powered applications.
• Prototype, test, and iterate quickly, delivering proof-of-concepts and scaling successful solutions into production systems.
• Translate business goals into actionable AI/ML implementations
• Contribute to building AI best practices across the organization, especially around automation, vector mapping, and data modeling.
• Research and prototype scalable, cost-effective AI features for production use
• Evaluate and audit tools for continuous improvement and model governance
• Maintain secure, HIPAA-compliant systems across healthcare data domains

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• 5+ years in software engineering, primarily with .NET/C#
• 4+ years in applied AI/ML development, including model deployment
• Experience with ASP.NET Core, Entity Framework, SQL Server
• Strong API integration skills, ideally with AI/LLM services
• Proven track record delivering end-to-end AI/ML solutions, from data ingestion to deployment and monitoring
• Understanding of data manipulation and foundational machine learning; experience with custom models is a plus
• Experience with HIPAA-compliant environments and secure data handling
• Strong problem-solving, communication, and teamwork skills

Preferred Qualifications

• Python or hybrid stack experience (TensorFlow, PyTorch, Scikit-learn, etc.)
• Familiarity with LLM frameworks (Hugging Face, LangChain, Azure OpenAI)
• Experience with MLOps/LLMOps practices and pipeline tooling
• JavaScript, TypeScript, or Blazor/React experience
• Healthcare or long-term care software background

Why Join Us?

• Be part of a mission-first culture improving lives through technology
• Collaborate with a smart, purpose-driven team
• Competitive compensation + full benefits (WFH, medical, dental, vision, life, 401k, PTO)
• Influence the future of AI in long-term care

Apply Today

Join us in redefining the future of senior care. If you're ready to build intelligent solutions that matter, we want to hear from you.

ABOUT BLUE PURPOSE. Blue Purpose is a leading data software company focused on empowering Long Term Care nursing homes through innovative analytics and insights. Our platform, VIBE, helps facilities make data-driven decisions that improve care quality, compliance, and operational efficiency.

Company Description

ABOUT BLUE PURPOSE. Blue Purpose is a leading data software company focused on empowering Long Term Care nursing homes through innovative analytics and insights. Our platform, VIBE, helps facilities make data-driven decisions that improve care quality, compliance, and operational efficiency.

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