Agentic Engineering Opportunities

Relevate Health•Blue Ash, OH

10d•Hybrid

About The Position

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. Current opportunities include: 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.

Requirements

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.

Nice To Haves

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

Responsibilities

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.
Design multi-agent workflows.
Build intelligent business process automation.
Develop orchestration logic across campaign and operational systems.
Improve workflow reliability, monitoring, and resilience.
Develop new software products and platform capabilities.
Build reusable services and internal tools.
Create automated testing strategies.
Improve developer productivity through AI-assisted workflows.
Build enterprise APIs and integrations.
Connect internal systems with external platforms.
Design authentication and secure data exchange.
Improve interoperability across business applications.
Design cloud architecture.
Build deployment pipelines.
Manage infrastructure automation.
Improve platform reliability, scalability, and developer experience.