Lead AI Software Engineer – US Remote

As the newest member of our AI Engineering team youll own the design and delivery of AI/ML solutions that drive measurable clinical and business outcomes across our SmartCare platform. With 10 years in software engineering and at least 5 years delivering AI/ML solutions in production environments you bring both architectural thinking and hands-on execution from data pipelines and LLM fine-tuning to MLOps and production deployment. You have demonstrated healthcare domain experience a deep command of Azure AI services and the ability to build responsibly in a HIPAA-regulated environment. If youre passionate about applying AI to behavioral health and want to make a measurable impact lets talk!

Applicants must be currently authorized to work in the United States on a full-time basis without current or future visa sponsorship.

You Value: Communication Integrity Curiosity

Spend your days:

• 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 products 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

Qualifications :

Show us your:

• Bachelors 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 /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 thats 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

Additional Information :

Our team members enjoy:

• Salary $170000 to $185000 based on experience and full suite of benefits
• An incredibly committed team of professionals who support and challenge each other
• Meaningful high-impact work that directly improves patient care and healthcare technology

Goldstone Partners is helping this dedicated organization find talented professionals who want to serve.  Applications welcome for those who are US Citizens or hold a Green Card. Principals only please.

Applications for this role are managed exclusively through Goldstone Partners using official email addresses. 

Remote Work :

Yes

Employment Type :

Full-time