Staff AI Platform Engineer

Location: Onsite at an hirify.global location in Illinois, United States.

Salary: Base pay of $129,300.00–$258,700.00 annually; the range may vary by location.

Company

hirify.global is a global healthcare company developing technologies and products in diagnostics, medical devices, nutritionals, and branded generic medicines, serving people in more than 160 countries.

What you will do

• Lead the design and delivery of major enterprise AI platform capabilities, including multi-provider model gateways, GenAI runtimes, agent and model registries, and evaluation and tracing pipelines.
• Define and document architecture decisions for the control plane, paved-road SDKs, and developer experience, balancing scalability, security, cost, and operability.
• Drive observability and evaluation standards covering distributed tracing, quality, drift, latency, and cost signals.
• Implement security, guardrails, and responsible-AI controls across platform services, including PII/PHI handling, prompt-injection defenses, identity-on-behalf-of, and policy enforcement.
• Own platform reliability engineering by defining SLOs, leading high-severity incident response, conducting root-cause analysis, and improving resilience.
• Set engineering standards, make build-versus-buy and vendor recommendations, mentor engineers, and partner with product and senior technical stakeholders on roadmap and design.

Requirements

• 8–10 years of software engineering, platform engineering, distributed systems, or infrastructure experience, with ownership of significant technical scope.
• Hands-on experience designing and operating enterprise AI/GenAI platforms or comparable developer, data, or ML platforms in production at scale.
• Strong software engineering skills in Python and at least one of TypeScript, Go, or Java, including distributed systems, API design, testing, and secure SDLC.
• Deep technical understanding of at least two of the following: model gateways, GenAI runtimes, RAG, agent/model registries, evaluation, observability/tracing, guardrails, or platform governance.
• Experience with containers and orchestration such as Kubernetes, infrastructure as code, CI/CD, cloud services, production SLO/on-call practices, and leading incident response.
• Bachelor's degree in a related field or equivalent professional experience.
• Ability to drive technical decisions autonomously, influence engineers outside a direct reporting line, and communicate clearly with technical leadership.

Nice to have

• Experience building enterprise GenAI or agent platforms with multi-model routing, agent registries, prompt management, evaluation harnesses, and GenAI tracing.
• Experience in a highly regulated environment such as health tech, med-tech, or life sciences, including GxP, HIPAA, validation, and change-control constraints.
• Experience implementing security, responsible-AI, privacy, policy, or cost/FinOps controls for shared AI infrastructure.
• Experience with MCP, OpenTelemetry, Kubernetes, cloud-native platform engineering practices, informal technical leadership, or mentoring.

Culture & Benefits

• Career development opportunities within an international healthcare company.
• Potential eligibility for free medical coverage through the Health Investment Plan PPO medical plan in the next calendar year.
• Retirement savings plan with a high employer contribution.
• Tuition reimbursement, student debt support, and an education benefit for earning a bachelor's degree.
• Workplace programs supporting diversity, working parents, female executives, scientists, and employee wellbeing.