About The Position

Attuned Intelligence is automating patient access for community health centers and health systems by building AI-powered voice agents. These agents automate how patients enter, navigate, and stay connected to care, addressing issues like missed calls and language barriers. The platform handles hundreds of thousands of calls monthly across multiple languages, routing patients to the correct care team and integrating with Epic for scheduling and workflow automation. The company is mission-driven, focused on making care more accessible and equitable through AI and a deep understanding of healthcare operations.

Requirements

  • 3-5 years of hands-on experience building LLM-based agents, conversational experiences, or workflow automations, with concrete examples of built solutions and testing methods.
  • Experience with voice AI, conversation design, speech recognition, or text-to-speech systems.
  • Strong writing and structured reasoning skills to translate ambiguous requests into clear instructions, decision logic, and observable success criteria.
  • Practical programming or scripting ability, with comfort working with APIs, JSON, version control, and logs for building and debugging workflows.
  • A methodical approach to troubleshooting, including investigating, reproducing problems, and validating fixes against the actual user experience.
  • Clear communication skills with technical and nontechnical teammates, including explaining dependencies and surfacing missing requirements early.

Nice To Haves

  • Agent tool calling, evaluation frameworks, or automated scenario testing.
  • Customer implementations, technical support, or another role that translates real-world operating requirements into working software.

Responsibilities

  • Build and validate customer solutions by designing prompts, conversation flows, knowledge content, and tool integrations.
  • Test complete experiences against realistic scenarios and customer expectations.
  • Develop new agent capabilities by translating customer problems into new agent behaviors, tools, and workflows.
  • Prototype and validate solutions, building directly where appropriate and partnering with platform engineers on capabilities requiring product or infrastructure changes.
  • Test and troubleshoot systematically by developing scalable testing systems for representative customer scenarios.
  • Reproduce failures, distinguish prompt/configuration issues from model/platform problems, and verify that changes improve intended behavior.
  • Drive ongoing customer outcomes by using call results and feedback to recommend and implement agent improvements and identify opportunities to expand agent usefulness.
  • Measure progress through successful task completion, patient experience, and reduced staff effort while preserving privacy and appropriate human handoffs.
  • Turn customer learning into product improvements by identifying shared needs across customers and contributing reusable capabilities, implementation approaches, and recommendations for the product roadmap.
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