Agentic Engineering

Agentic Engineering Opportunities (Multiple Roles & Levels)

Relevate Health is a company made up of exceptional professionals with the business purpose of creating life-changing healthcare engagement through our vision that every healthcare professional communication is relevant. We are proud to be healthcare marketing experts who push ourselves every day to deliver innovative technology, exceptional client experiences, and measurable outcomes. Our continued growth is driven by extraordinary people, an entrepreneurial culture, and a commitment to building what's next.

Today, that means redefining how software gets built.

Relevate Health is building one of the first true Agentic Engineering organizations in healthcare.

Traditional software teams write software. Our engineers direct intelligent AI agents that build software, workflows, integrations, and automations—while applying the engineering judgment necessary to ensure every solution is reliable, secure, scalable, and production-ready.

We believe the future engineer spends less time writing repetitive code and more time designing systems, orchestrating intelligent workflows, validating AI-generated solutions, and solving increasingly complex business problems.

We're hiring multiple engineers across several specialties and career levels. While each role has a unique technical focus, every engineer shares the same foundation:

• AI-first development
• Strong engineering fundamentals
• Systems thinking
• Production-quality verification
• Curiosity and continuous learning

• Agentic Orchestration Engineer
• Associate Agentic Engineer
• Agentic Automation Engineer
• Agentic Middleware Engineer
• Platform Engineer

Whether you're building intelligent workflow orchestration, connecting enterprise systems, developing software products, or designing cloud platforms, you'll help define how AI-native engineering operates inside one of healthcare's most innovative technology organizations.

Agentic Orchestration

Design and orchestrate intelligent workflows that coordinate AI agents, business processes, campaign operations, and enterprise systems. Engineers in this track create reliable automation that transforms repeatable work into scalable production systems.

Examples include:

• Multi-agent orchestration
• Workflow automation
• Intelligent routing
• Campaign launch automation
• Operational reliability
• AI decision pipelines

Agentic Engineering

Build software products and internal applications using AI-assisted engineering workflows. Engineers focus on rapidly delivering features while ensuring quality, maintainability, and long-term scalability.

Examples include:

• Product development
• Internal applications
• AI-assisted software engineering
• Automated testing
• Feature delivery
• Developer tooling

Middleware Engineering

Design and build the integration layer connecting internal platforms with external systems. Engineers create reliable APIs, services, authentication layers, and event-driven architectures that enable seamless data movement across the organization.

Examples include:

• REST APIs
• Webhooks
• OAuth
• Enterprise integrations
• Messaging systems
• Data synchronization

Platform Engineering

Build the foundational infrastructure that powers engineering across the organization. Engineers focus on cloud architecture, deployment pipelines, observability, reliability, scalability, and shared engineering platforms.

Examples include:

• Cloud infrastructure
• CI/CD
• Infrastructure as Code
• Developer platforms
• Shared services
• Security
• Reliability engineering

All engineers within the Agentic Engineering organization are expected to:

• Build production-ready software, workflows, automations, or platforms using AI-native development practices.
• Direct AI agents to generate code, documentation, workflows, tests, and automation while maintaining ownership of technical quality.
• Validate AI-generated work through testing, debugging, peer review, and engineering judgment.
• Design reliable systems that anticipate failures, recover gracefully, and provide meaningful operational visibility.
• Replace repetitive manual processes with intelligent automation wherever practical.
• Document architectures,…