Site Reliability Engineer - AI Enablement

Location: US Remote; no travel required. This position is not eligible for visa sponsorship.

Company

hirify.global is a healthcare performance improvement company providing data platforms, analytics, and clinical, financial, and operational expertise to support measurable healthcare improvement.

What you will do

• Enable engineering teams to integrate AI into development workflows, including AI-assisted coding, prompt engineering, and agentic development patterns.
• Review AI system architectures for integration patterns, reliability risks, observability gaps, security, and governance alignment.
• Provide hands-on guidance on LLM integrations, RAG pipelines, agentic architectures, and AI service patterns.
• Advise on observability, SLOs, failure modes, incident response, and operational readiness for AI-powered services.
• Develop internal standards, reference architectures, reusable patterns, and documentation for AI systems.
• Collaborate with product management, data science, security, and compliance stakeholders on regulatory and clinical requirements.

Requirements

• Production experience solutioning and implementing AI systems, including LLM API integrations and AI-native application patterns.
• Hands-on experience with an agentic or RAG framework such as LangChain, LlamaIndex, or Semantic Kernel.
• Strong SRE or platform engineering background with knowledge of observability, reliability principles, and operational practices.
• Experience evaluating AI architectures and advising or training engineering teams on AI tooling and best practices.
• Cloud infrastructure experience with Azure or AWS, including managed AI/ML services; familiarity with Docker, Kubernetes, and CI/CD pipelines.
• At least 5 years of experience in SRE, platform engineering, or a related role and at least 2 years of hands-on experience with production or near-production AI/LLM systems.

Nice to have

• Healthcare IT experience with HL7v2, CDA, EMR, FHIR, HIPAA compliance, or clinical data models.
• Experience with AI evaluation, testing, red-teaming, rules engines, or deterministic workflow systems.
• Experience with Datadog, Grafana, OpenTelemetry, Agile/Scrum, or Databricks.
• Degree in Computer Science, Information Systems, or a related technical field, or equivalent practical experience.

Culture & Benefits

• Work remotely within the United States with no travel required.
• Contribute to responsible, secure, and measurable healthcare improvement.
• Collaborate across engineering, product, data science, security, compliance, and clinical stakeholders.
• Support organizational information security, acceptable-use, and HIPAA privacy and security requirements.