Software Engineer
Lead AI Software Engineer responsible for designing and deploying machine learning models and AI-driven features in a cloud-native healthcare platform, leveraging Python, Node.js, AWS, and containerization to deliver scalable, secure solutions for behavioral health organizations.
Job Description:
About Streamline Healthcare Solutions
Here at Streamline, we strive on building lasting and trusting relationships with our clients, and our employees set the bar.
Streamline’s 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.
Streamline offers competitive compensation and benefits packages as well as a challenging, yet flexible, work environment that is conducive to collaboration and productivity. A career with Streamline Healthcare Solutions provides opportunities for growth and continued learning in a workplace where individual contribution is valued and recognized. Join us, and advance your career today with a company that is on the cutting edge of the behavioral healthcare technology industry.
Summary of the Lead AI Software Engineer
This senior-level role focuses on designing and delivering AI/ML solutions for the healthcare industry—spanning LLM-powered applications, retrieval-augmented generation (RAG), and predictive models. You will co-design AI solutions with the AI Architect and own product-level design and end-to-end implementation (data pipelines, training/fine-tuning, evaluation & guardrails, deployment, and monitoring) within enterprise standards. The role is Azure-first and requires hands-on experience with OpenAI or Anthropic models, Microsoft Copilot, GitHub Copilot, and strong competence with SQL Server (SSMS) and Visual Studio. A commitment to HIPAA-compliant handling of PHI, Responsible AI, and measurable clinical and business outcomes is essential. Healthcare domain experience—either clinical or revenue cycle management—is required.
This position is remote and based in the United States. The salary range is $150,000 - $200,000, DOE. Employment visa sponsorship is not available for this role.
Responsibilities of the Lead AI Software Engineer
Co-design AI solutions with the AI Architect and own product-level solutioning and delivery within enterprise AI architecture, standards, and governance.
Lead end-to-end implementation for your product/squad:
RAG over EHR/claims/clinical text using embeddings and vector search.
Model development and training/fine-tuning (LLMs and classical ML), evaluation frameworks, and guardrails (hallucination reduction, safety, PII/PHI handling).
Production deployment with containerization/orchestration, and GPU-aware inference where applicable.
Establish and operate MLOps:
Posted June 24, 2026