Lead AI Software Engineer

Streamline Healthcare Solutions LLC; Illinois; Hybrid; USD 150,000 - 200,000; Full time

Job summary

Streamline Healthcare Solutions LLC is seeking a Lead AI Software Engineer to design and implement AI/ML solutions for the healthcare industry. This remote position offers a salary ranging from $150,000 to $200,000, depending on experience.

Ideal candidates will have over 10 years of software engineering experience, significant leadership in AI initiatives, and expertise in Azure and SQL Server. A commitment to HIPAA compliance and Responsible AI practices is essential.

Join our team to contribute to innovative solutions that enhance behavioral health and quality of life.

Qualifications

• 10+ years in software engineering with 5+ years in ML/AI solutions.
• Proven leadership experience in AI/ML initiatives.
• Expertise in SQL development and tuning.

Responsibilities

• Co-design AI solutions and lead implementation.
• Develop and fine-tune AI models and establish MLOps.
• Collaborate with various stakeholders to ensure compliance.

Skills

Azure AI Foundry knowledge

Machine Learning Solutions

Python and ML ecosystem skills

SQL Server Management Studio

OpenAI/Anthropic models experience

MLOps expertise

Collaboration skills

Education

Bachelor’s degree in Computer Science or related field

Tools

SQL Server

PyTorch

TensorFlow

Docker

Kubernetes

Job description

About Streamline Healthcare Solutions

Streamline Healthcare Solutions is a high‑growth technology company building web‑based software for healthcare organizations, delivering solutions that improve behavioral health and quality of life. Established in 2003, we have partnered with premier behavioral health providers and focus on innovative, HIPAA‑compliant technology.

Lead AI Software Engineer

Senior‑level engineer responsible for designing and implementing AI/ML solutions for the healthcare industry, including LLM‑powered applications, retrieval‑augmented generation (RAG), and predictive models. The role is Azure‑first and requires hands‑on experience with OpenAI or Anthropic models, Microsoft Copilot, GitHub Copilot, SQL Server (SSMS), and Visual Studio. A commitment to HIPAA compliance, Responsible AI, and measurable clinical and business outcomes is essential. This remote position is based in the United States and offers a salary range of $150,000 - $200,000, DOE. Employment visa sponsorship is not available.

Responsibilities

• 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 the product squad: RAG over EHR/claims/clinical text using embeddings and vector search.
• Develop and train/fine‑tune models (LLMs and classical ML), create evaluation frameworks, and establish guardrails for hallucination reduction, safety, and PII/PHI handling.
• Deploy production services with containerization/orchestration, optimizing GPU‑aware inference where applicable.
• Establish and operate MLOps: experiment tracking, model registry, CI/CD for ML, canary/A/B testing, monitoring for latency, accuracy, drift, bias, and cost.
• Own reliability, security, and cost for AI services: define SLOs, participate in on‑call/incident response, manage token/GPU budgets, and optimize prompts, embeddings, caching, and indexing.
• Build and maintain data pipelines (e.g., Spark/Databricks) and ensure robust SQL Server performance and data quality; collaborate with DBAs and data engineers.
• Ensure HIPAA compliance and Responsible AI practices across development and operations; partner with security and compliance to meet policy requirements.
• Collaborate with product management, domain experts, and compliance to translate requirements into safe, reliable, high‑impact AI services.
• Conduct reviews emphasizing code quality, experiment rigor, reproducibility, and evaluation discipline; mentor engineers and data scientists.
• Participate in architecture reviews; propose improvements and contribute reusable components (RAG templates, evaluation harnesses) to the shared AI platform.
• Leverage Microsoft Copilot and GitHub Copilot to improve developer productivity, quality, and documentation, aligning with governance.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Health Informatics, or a related field.
• 10+ years in software engineering; 5+ years building and shipping ML/AI solutions; 2+ years leading AI/ML initiatives or teams.
• Azure AI Foundry (Azure AI Studio) knowledge and familiarity with Azure AI resources and deployment patterns.
• Proficiency with SQL Server Management Studio (SSMS) for SQL development, performance tuning, and troubleshooting; strong T‑SQL fundamentals.
• Experience integrating AI services into .NET/C# applications or services.
• Hands‑on experience using OpenAI or Anthropic models (GPT‑4.x/4o, Claude 3.x), including prompt engineering, function/tool calling, and evaluation.
• Experience with Microsoft Copilot and GitHub Copilot in professional workflows.
• Strong Python and ML ecosystem skills: PyTorch/TensorFlow, transformers/Hugging Face, embeddings, LLM orchestration (e.g., LangChain or LlamaIndex), and vector databases (FAISS, Azure AI Search, Pinecone).
• MLOps expertise: MLflow/WandB, Docker, Kubernetes, CI/CD for ML, model registries, monitoring, A/B testing, and rollback strategies.
• Cloud AI on Azure: Azure OpenAI, Azure AI Search, Azure ML, Azure Key Vault, with understanding of IAM, secrets, and encryption.
• Demonstrated security, privacy, and compliance competence: HIPAA, PHI/PII handling and de‑identification (e.g., Presidio), Responsible AI practices.
• Excellent communication and cross‑functional collaboration skills with clinical stakeholders and compliance teams.

Preferred Qualifications

• Experience with FHIR and HL7 data standards; clinical NLP (entity extraction, summarization, coding/RCM use cases); and/or medical imaging (DICOM).
• Databricks (Delta Lake, Spark), Airflow (or similar orchestration), and Azure‑native data services (Data Factory, Synapse).
• GPU/CUDA experience; inference optimization (quantization, distillation); prompt/token budgeting and caching strategies for LLM workloads.
• Governance & ethics: model cards, datasheets, bias/fairness evaluations, red‑teaming.
• Familiarity with .NET microservices and API design to integrate AI services into enterprise systems.

Equal Opportunity Employer

Streamline Healthcare Solutions is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin, or any other characteristic protected under federal, state, or applicable local law.