Agentic Engineering Opportunities

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

Core Responsibilities

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, workflows, technical decisions, and operational procedures.
• Collaborate across engineering, product, operations, data, and business teams.
• Continuously improve engineering practices by identifying opportunities for automation and optimization.
• Escalate technical risks with clear recommendations and proposed solutions.

Additional Responsibilities by Engineering Specialty

Agentic Orchestration

• Design multi-agent workflows.
• Build intelligent business process automation.
• Develop orchestration logic across campaign and operational systems.
• Improve workflow reliability, monitoring, and resilience.

Agentic Engineering

• Develop new software products and platform capabilities.
• Build reusable services and internal tools.
• Create automated testing strategies.
• Improve developer productivity through AI-assisted workflows.

Middleware Engineering

• Build enterprise APIs and integrations.
• Connect internal systems with external platforms.
• Design authentication and secure data exchange.
• Improve interoperability across business applications.

Platform Engineering

• Design cloud architecture.
• Build deployment pipelines.
• Manage infrastructure automation.
• Improve platform reliability, scalability, and developer experience.

Required:

• Experience using AI-native development tools such as Claude Code, Cursor, GitHub Copilot, or similar platforms as part of your primary engineering workflow.
• Ability to critically evaluate AI-generated solutions and identify issues related to correctness, security, performance, and maintainability.
• Experience building software or automation deployed in real-world production environments.
• Strong understanding of APIs, authentication, and modern software architecture.
• Excellent problem-solving and systems-thinking abilities.
• Strong written communication and documentation skills.
• Passion for continuous learning and adopting emerging technologies.

Preferred:

Experience in one or more of the following:

• Python
• JavaScript or TypeScript
• REST APIs
• GraphQL
• SQL
• AWS
• Azure
• Kubernetes
• Terraform
• Git
• CI/CD pipelines
• n8n
• LangGraph
• CrewAI
• Workflow orchestration frameworks
• Event-driven architectures
• Enterprise integration platforms
• Marketing technology platforms
• Healthcare technology
• Regulated industries, Mid-level engineers independently own technical solutions and cross-functional projects.

Senior engineers establish architecture, define engineering standards, mentor others, and lead complex technical initiatives.

Regardless of level, every engineer is expected to embrace AI-first development, apply sound engineering judgment, and build systems that are secure, scalable, and reliable., Relevate Health does not provide employment visa sponsorship or other employer-sponsored work authorization for this position now or in the future. Applicants must be legally authorized to work in the United States for the duration of employment without requiring employer sponsorship or employer-supported immigration documentation.

• Hybrid work arrangement for employees within 40 miles of a Relevate Health office.
• Remote work available for employees outside the 40-mile radius.
• Occasional travel may be required based on business needs.
• Hours may vary based on client and business requirements.

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., 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, 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., Why Join Relevate Health? You'll help shape one of healthcare's first AI-native engineering organizations. You'll work alongside engineers who believe AI should amplify engineering-not replace it. You'll solve meaningful healthcare challenges, build technology used by leading life sciences organizations, and help define what software engineering looks like in the next decade. If you're excited by the intersection of AI, software engineering, automation, and intelligent systems, we'd love to meet you.