Lead AI Software Engineer - US Remote

• Compensation: USD 170000 - USD 185000 - yearly

Company Description

At Streamline Healthcare Solutions, we strive to build lasting and trusting relationships with our clients, and our employees set the bar. Our mission is to build innovative technology solutions that empower people who improve behavioral health and quality of life of those in need. We are a high-growth technology company that delivers web-based software for healthcare organizations to provide and coordinate all service delivery processes. Streamline has been offering software in the behavioral health marketplace since 2003. Streamline has built and maintains systems for some of the nation’s premier behavioral health organizations using the latest web-based technology.

Job Description

As the newest member of our AI Engineering team, you'll 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 you're passionate about applying AI to behavioral health and want to make a measurable impact, let's talk!

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

• 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

Qualifications

Show us your:

• 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
• 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

Additional Information

Our team members enjoy:

• Salary $170,000 to $185,000 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