Elizabeth Lancaster

IDR is seeking a talented AI/ML Engineer to join a remote team working on cutting-edge healthcare AI systems. This contract role offers the opportunity to design and develop innovative AI solutions that improve patient outcomes and healthcare workflows.

Position Overview for the AI/ML ENGINEER:

• Develop and implement advanced AI and machine learning models tailored for healthcare applications.
• Design agent architectures, including large language model (LLM) integrations and prompt engineering.
• Build and maintain scalable Python services, automation workflows, and data pipelines.
• Deploy AI systems in cloud environments such as Azure, AWS, or GCP, ensuring reliable and secure operation.
• Collaborate on evaluating AI models, establishing guardrails, and ensuring compliance with healthcare data standards.
• Contribute to the development of AI agent frameworks and communication protocols.
• Support rapid experimentation and continuous improvement of AI capabilities in a regulated environment.

Requirements for the AI/ML ENGINEER:

• A master’s degree in engineering, computer science, mathematics, health science, or a related field, with at least one year of relevant experience, or a bachelor’s degree with three years of experience, or a high school diploma with seven years of experience.
• Over seven years of hands-on experience in software and machine learning engineering, with recent work involving AI or large language models.
• Advanced proficiency in Python, including experience with APIs, asynchronous programming, and testing in production environments.
• Practical experience designing and deploying autonomous or semi-autonomous AI agents, especially with frameworks like LangChain, LangGraph, or LlamaIndex.
• Knowledge of agent communication protocols and coordination architectures such as MCP.
• Experience with AI evaluation techniques, guardrails, and handling sensitive healthcare data in compliance with HIPAA standards.
• Familiarity with ML lifecycle management, including deployment, monitoring, and evaluation of models, as well as working with embedding models and vector databases.
• Hands-on cloud experience with Azure, AWS, or GCP, including cloud-native deployment patterns and CI/CD pipelines.
• Understanding of healthcare data management, including data modeling, pipelines, and governance.

Preferred Qualifications (Nice to Have):

• Experience with Google ADK, Copilot Studio, or similar AI/LLM agent tooling.
• Cloud experience with Google Cloud or Azure platforms.
• Knowledge of databases such as BigQuery, Firestore, or Cloud SQL.
• Familiarity with data pipeline tools like Dataflow.
• Automation tooling experience with UiPath or Power Automate.
• CI/CD pipeline management using Azure DevOps or similar tools.
• Infrastructure as Code (IaC) experience with Terraform.

What’s in it for you?

• Competitive hourly pay rate of $85–88.
• Work remotely from anywhere in the United States.
• Opportunity to contribute to innovative healthcare AI projects with a focus on patient safety and data security.
• Collaborate with a team of experts in a fast-paced, rapidly evolving environment.
• Gain experience working with the latest AI and cloud technologies in a regulated industry.

Why IDR?

• 25+ Years of Proven Industry Experience in 4 major markets
• Employee Stock Ownership Program
• Medical, Dental, Vision, and Life Insurance
• ClearlyRated's Best of Staffing® Client and Talent Award winner 12 years in a row

Compensation Range: $85-88/hr

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