Lead AI Software Engineer

Goldstone Partners, Inc.

Lead AI Software Engineer delivering AI/ML solutions for a healthcare technology company. Collaborate on AI design and development while ensuring compliance and operational excellence.

Posted 6/5/2026full-timeRemote • Illinois • 🇺🇸 United StatesSenior💰 $170,000 - $185,000 per yearWebsite

Tech Stack

Tools & technologies

AzureDockerKubernetes.NETPythonPyTorchSQLTensorflow

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Comp & perks

full suite of benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI solution designRAG pipelinesEHR dataLLMsclassical ML modelsMLOps infrastructureexperiment trackingCI/CDdrift monitoringprompt engineering

Soft Skills

mentoringcommunicationanalytical skillsdocumentation skillsintellectual curiosityoutcome-focused mindsetresults-oriented mindsetteam-orientedproblem-solvingoptimism

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Information TechnologyBachelor’s degree in Health Informatics