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Lincare · 1 day ago

AI Conversation Developer

Clearwater, FL

Full-time

Onsite

Mid Level

Lincare is a company focused on providing innovative solutions, and they are seeking an AI Conversation Developer to design, build, and optimize voice-first experiences. The role involves working on telephony and voice bots, combining various technologies to create high-performing conversational systems.

Medical DeviceHealthcareHealth CareHealth DiagnosticsMedical

H1B Sponsor Likely

Responsibilities

Designs, builds, and maintains voice-first conversational flows for contact centers, IVR, and telephony channels

Configures and optimizes NLU for voice use cases (intents, entities, training phrases, confidence handling, disambiguation)

Designs voice prompts and dialog strategies, including error handling, reprompts, confirmations, and escalation logic

Works with ASR/TTS and voice settings to balance accuracy, latency, and user experience

Implements routing, call handling logic, and escalation paths to live agents where needed

Designs, tests, and refines prompts for LLMs and AI components that support voice interactions (reasoning, summarization, routing, knowledge lookup, etc.)

Implements guardrails, system instructions, and structured prompting patterns for reliability and compliance

Uses call logs and transcripts to improve NLU accuracy, reduces misclassifications, as well as tune prompts and flows

Builds and maintains evaluation sets and scenarios for regression testing of NLU models and prompts changes

Implements backend automation logic to fulfill user intents (lookups, updates, workflows, decisions)

Integrates with internal and external systems (CRMs, ticketing tools, databases, APIs, RPA, etc.)

Handles error states, fallbacks, and edge cases to ensure stable and predictable automation

Maintains configuration, mappings, and business rules that drive conversational and automation behavior

Defines and tracks key metrics such as containment rate, transfer rate, error rate, call duration, and completion rate

Analyzes logs, transcripts, and metrics to identify improvement opportunities in NLU, flows, and automation

Runs experiments (A/B tests, controlled changes) on prompts, flows, and logic, as well as evaluate impact using data

Contributes to dashboards and reporting for stakeholders on voice bot and automation performance

Works closely with operations, product, and business stakeholders to translate real-world call scenarios into conversational designs and automation logic

Owns the lifecycle from design and implementation to testing, deployment, and continuous improvement

Creates and maintains clear documentation for flows, NLU configurations, prompts, integrations, and KPIs

Qualification

NLU configurationDialog designBackend integrationsVoice-first experiencesPrompt engineeringAPI integrationData analysisError handlingDocumentation

Required