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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and testing LLM-based agents and conversational experiences, with a strong focus on customer outcomes and effective communication across technical and non-technical teams. Proficient in troubleshooting, workflow automation, and utilizing APIs to enhance agent functionality.
Highest-signal resume keywords
LLM-Based Agent DevelopmentConversation DesignVoice AI ExperienceAPI IntegrationMethodical Troubleshooting
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ProgrammingScriptingWorkflow AutomationTesting SystemsTroubleshootingDecision LogicObservable Success CriteriaAgent Tool CallingEvaluation FrameworksAutomated Scenario Testing
Soft Skills
Strong WritingStructured ReasoningClear Communication
Tools & Technologies
APIsJSONVersion ControlSpeech RecognitionText-To-Speech Systems
Industry Keywords
Customer ExperienceHealthcare OutcomesCustomer DeliveryHuman Handoffs
About the role
Key responsibilities & impact- Design prompts, conversation flows, knowledge content, and tool integrations
- Test complete customer experiences against realistic scenarios and expectations
- Translate customer problems into agent behaviors, tools, and workflows
- Prototype and validate solutions, building directly where appropriate and partnering with platform engineers when product or infrastructure changes are needed
- Develop scalable testing systems for representative customer scenarios
- Reproduce failures and distinguish prompt/configuration issues from model or platform problems
- Use customer call results and feedback to recommend and implement agent improvements
- Identify opportunities to expand agent usefulness and measure task completion, patient experience, and reduced staff effort
- Preserve privacy and appropriate human handoffs
- Identify shared customer needs and contribute reusable capabilities, implementation approaches, and product roadmap recommendations
- Partner with the Customer Delivery team and platform engineers to improve healthcare customer outcomes
Requirements
What you’ll need- 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; ability to turn ambiguous requests into clear instructions, decision logic, and observable success criteria
- Practical programming or scripting ability
- Comfort working with APIs, JSON, version control, and logs to build and debug workflows
- Methodical troubleshooting approach: investigate, reproduce problems, and validate fixes against the actual user experience
- Clear communication with technical and nontechnical teammates, including explaining dependencies and surfacing missing requirements early
- Helpful: experience with agent tool calling, evaluation frameworks, or automated scenario testing
- Helpful: customer implementations, technical support, or translating real-world operating requirements into working software