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Attuned Intelligence is automating patient access for community health centers and health systems through AI-powered voice agents. The platform handles hundreds of thousands of calls per month across multiple languages, routing patients to appropriate care teams and integrating directly with Epic for scheduling and clinical workflows.
In this role, you'll be a hands-on AI solutions engineer building and improving agents for healthcare customers. You'll translate requirements from the Customer Delivery team into reliable agent capabilities, developing prompts, conversation flows, and tool integrations that improve patient access and reduce administrative burden.
Key responsibilities include:
- Building and validating customer solutions by designing prompts, conversation flows, knowledge content, and tool integrations. You'll test complete experiences against realistic scenarios and customer expectations.
- Developing new agent capabilities by translating customer problems into new agent behaviors, tools, and workflows. You'll prototype and validate solutions, building directly where appropriate and partnering with platform engineers on capabilities requiring product or infrastructure changes.
- Testing and troubleshooting systematically by developing scalable testing systems for representative customer scenarios. You'll reproduce failures, distinguish prompt and configuration issues from model or platform problems, and verify that changes improve intended behavior.
- Driving ongoing customer outcomes by using call results and feedback to recommend and implement agent improvements. You'll measure progress through successful task completion, patient experience, and reduced staff effort while preserving privacy and appropriate human handoffs.
- Turning customer learning into product improvements by identifying shared needs across customers and contributing reusable capabilities, implementation approaches, and roadmap recommendations.
Requirements:
- 3-5 years of hands-on experience building LLM-based agents, conversational experiences, or workflow automations, with concrete examples of what you built and how you tested it
- Experience with voice AI, conversation design, speech recognition, or text-to-speech systems
- Strong writing and structured reasoning skills; ability to turn ambiguous requests into clear instructions, decision logic, and observable success criteria
- Practical programming or scripting ability, plus comfort working with APIs, JSON, version control, and logs to build and debug workflows
- Methodical troubleshooting approach: investigate what happened, reproduce the problem, and validate fixes against actual user experience
- Clear communication with technical and nontechnical teammates, including explaining dependencies and surfacing missing requirements early
Helpful experience includes agent tool calling, evaluation frameworks, automated scenario testing, customer implementations, technical support, or similar roles translating real-world operating requirements into working software.
