Note: The job is a remote job and is open to candidates in USA. Goldstone Partners, LLC is a high-growth technology company focused on building innovative technology solutions for behavioral health. The Lead AI Software Engineer will design and deliver AI/ML solutions for the SmartCare platform, ensuring compliance with HIPAA and operational excellence in a collaborative environment.

Responsibilities

• Owning product-level AI solution design and delivery in collaboration with the AI Architect
• Building RAG pipelines using EHR data, claims, and clinical text using embeddings and vector search
• Developing, fine-tuning, and evaluating LLMs and classical ML models with robust guardrails
• Establishing and operating MLOps infrastructure, including experiment tracking, CI/CD, and drift monitoring
• Managing reliability, security, and cost for your product’s AI services, including SLOs and incident response
• Ensuring HIPAA compliance and responsible AI practices are embedded across development and operations
• Reviewing code and experiments with an emphasis on reproducibility - mentoring engineers and data scientists on the team
• Contributing reusable AI components back to the shared platform and leveraging GitHub and Microsoft Copilot to improve team productivity

Skills

• Bachelor's degree in Computer Science, Information Technology, Health Informatics, or a related field
• 10+ years of software engineering experience with at least 5 years delivering AI/ML solutions in production environments
• 2+ years leading AI/ML initiatives or teams
• Healthcare domain experience in a clinical or revenue cycle management setting
• Hands-on experience with OpenAI or Anthropic models, including prompt engineering, function calling, and evaluation
• Strong Python and ML ecosystem fluency — PyTorch or TensorFlow, Hugging Face, LLM orchestration frameworks, and vector databases
• Hands-on Azure AI platform experience, including AI Foundry, Azure OpenAI, and Azure ML
• Proficiency in SQL Server and T-SQL using SSMS, and experience integrating AI services into .NET/C# applications
• MLOps experience with MLflow or equivalent, Docker, Kubernetes, CI/CD for ML, and monitoring for drift and bias
• Solid understanding of HIPAA, PHI/PII handling and de-identification, and Responsible AI practices
• Proficiency with Visual Studio and working familiarity with Microsoft Copilot and GitHub Copilot
• Refined communication, analytical and documentation skills – you thrive in a team-oriented environment
• Intellectual curiosity - a mind that's always thinking about the best, most efficient, and cost-effective way to grow
• Outcome-focused, results-oriented mindset — you see challenges as opportunities and approach work with optimism

Benefits

• Full suite of benefits

Company Overview