AI Staff Engineer

Ranger Technical Resources; California (MO); On-site; USD 180,000 - 240,000; Full time

Job summary

Ranger Technical Resources partners with a nationwide healthcare organization to hire a Staff Applied AI Engineer who will own production AI systems and remain hands-on with Python development, AI architecture, evaluation, deployment, and operations. You will design multi-agent workflows, set evaluation strategies, and decide when AI is the right solution compared to traditional software.

This role emphasizes long-term ownership of a rapidly evolving platform and direct impact on patient-facing

Qualifications

• B.S. in CS or related field or equivalent experience.
• Staff-level or senior engineer with ownership of production AI.
• Expert Python development for scalable backend.
• Experience designing multi-agent AI systems or LLM-powered workflows.
• Hands-on AI evaluation, regression testing, guardrails, observability.

Responsibilities

• Take long-term technical ownership of the applied AI platform and production architecture.
• Learn the existing AI platform and transition ownership in-house.
• Design, build, test, deploy, and operate production AI applications using Python and cloud services.
• Architect multi-agent workflows with routing, tool calling, context management, and human escalation.
• Determine when AI or traditional software is the right solution for a problem.
• Build AI evaluation frameworks, regression testing, and validation processes.
• Investigate hallucinations, latency issues, and production AI failures.
• Improve AI accuracy while balancing performance, cost, reliability, and user experience.
• Develop guardrails and escalation paths for patient-facing AI.
• Design scalable backend services, APIs, and integrations for AI apps.
• Establish observability and operational standards for production AI systems.
• Collaborate with product, engineering, clinical stakeholders to shape AI capabilities.
• Evaluate architectural tradeoffs and production-ready AI solutions.

Skills

Python

Multi-agent AI systems

AI evaluation frameworks

Production AI ownership

Cloud-native backends

Observability

AI architecture

Education

B.S. in Computer Science or related field

Equivalent professional experience

Tools

Cloud services (AWS/Azure/GCP)

Job description

Our partner, a nationally recognized healthcare organization, is bringing long-term ownership of its applied AI platform in-house. They are hiring a Staff Applied AI Engineer to become the technical authority for production AI systems while remaining deeply hands-on with Python development, AI architecture, evaluation, deployment, and production operations.

This role extends far beyond building prompts or integrating LLM APIs. You'll design and evolve multi-agent AI systems, make critical architectural decisions, establish evaluation and testing strategies, and determine when AI is the right solution versus when traditional software should be used. The platform supports real patient interactions where reliability, safety, and engineering judgment directly influence the user experience.

This is an opportunity for an experienced software engineer who enjoys solving complex engineering problems, building production AI systems, and taking long-term ownership of a rapidly evolving platform.

Experience and Education

• B.S. in Computer Science, Software Engineering, or a related technical field, or equivalent professional experience
• Staff-level or highly senior software engineering background with ownership of production AI applications used by real customers
• Expert-level Python development experience building scalable backend applications
• Proven experience designing multi-agent AI systems, agent orchestration, or complex LLM-powered workflows
• Hands-on experience building AI evaluation frameworks, regression testing, guardrails, and observability for production AI
• Experience designing cloud-native backend systems and integrating AI into production applications
• Experience working within healthcare or other regulated industries is preferred but not required

Skills and Strengths

Primary Job Responsibilities

• Take long-term technical ownership of the organization's applied AI platform and production architecture
• Learn the existing AI platform from the external engineering team and transition ownership in-house
• Design, build, test, deploy, and operate production AI applications using Python and modern cloud services
• Architect multi-agent workflows involving routing, tool calling, context management, asynchronous processing, and human escalation
• Determine when AI, deterministic software, or existing workflows are the appropriate solution for a given problem
• Build AI evaluation frameworks, regression testing strategies, and repeatable validation processes
• Investigate hallucinations, latency issues, inconsistent responses, and other production AI failures
• Improve AI accuracy while balancing performance, cost, reliability, security, and user experience
• Develop guardrails, human escalation paths, and failure-handling strategies for patient-facing AI experiences
• Design scalable backend services, APIs, and integrations that support AI-powered applications
• Establish observability, monitoring, and operational standards for production AI systems
• Partner with product, engineering, executive, and clinical stakeholders to shape AI capabilities that solve real business problems
• Evaluate architectural tradeoffs and recommend practical, production-ready AI solutions
• Help establish the engineering standards and technical foundation for future AI initiatives across the organization