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Lead AI Software Engineer

Job in Aurora, Kane County, Illinois, 60505, USA
Listing for: Streamline Healthcare Solutions
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

About Streamline Healthcare Solutions

Here at Streamline, we strive on building lasting and trusting relationships with our clients, and our employees set the bar.

Job Description

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, Git Hub 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: experiment tracking and model registry, CI/CD for ML, canary/A/B testing, and monitoring for latency, accuracy, drift, bias, and cost.
  • Own reliability, security, and cost for your product’s 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 or equivalent) and ensure robust SQL Server performance and data quality; collaborate with DBAs and data engineers using SSMS.
  • 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) back to the shared AI platform.
  • Leverage Microsoft Copilot and Git Hub Copilot to improve developer…
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