Associate Agentic Engineer

Relevate HealthHamilton Township, OH
Hybrid

About The Position

The Associate Agentic Engineer is the execution engine within Relevate's Agentic Orchestration function. You will work under the direction of the Agentic Product Engineer, taking well-scoped problems and producing reliable, tested output primarily through agent orchestration rather than traditional hand-written code. While you may be earlier in your engineering career, you are not a traditional junior developer, having already embraced AI-native development as your primary way of working and eager to deepen that skillset. This is a formative role where you will learn how to break down problems, direct autonomous systems, identify gaps in agent output, and build production-level discipline around AI-assisted workflows, with a clear path to growing into an Agentic Product Engineer.

Requirements

  • Solid engineering fundamentals (CS degree, bootcamp, or equivalent hands-on experience building software)
  • Experience using LLM-based development tools (Claude Code, Cursor, or similar) as a core workflow
  • Curiosity about how systems connect — APIs, data flow, architecture, and basic deployment concepts
  • Strong written communication — able to clearly explain problems, ask precise questions, and document work
  • Comfortable working independently on well-defined tasks in an asynchronous environment
  • Willingness to learn HIPAA considerations is essential

Nice To Haves

  • Healthcare or pharma experience is a plus, but not required

Responsibilities

  • Execute clearly scoped engineering tasks using Claude Code, agent pipelines, and agentic development environments under senior guidance
  • Translate structured technical briefs into effective prompts and agent instructions that produce reliable, reviewable output
  • Build and maintain test coverage — with a focus on identifying edge cases agents may miss
  • Support component development for the Treatment Perspectives Platform and internal tools under architectural direction
  • Document agent workflows, edge cases, and failure modes to build shared knowledge
  • Proactively flag blockers, dependencies, and integration risks — escalating with context and proposed solutions
  • Continuously develop engineering depth by understanding not just what agents produce, but how and why
  • Perform other duties as assigned
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