AI Agent Engineer

IntelePeer•Dania Beach, FL

13d

About The Position

IntelePeer delivers rapidly deployable communications solutions for an always connected world. Our Conversational AI Platform instantly improves your customers’ communications experience. IntelePeer provides industry leading time-to-value with Agentic AI solutions that work seamlessly with your infrastructure. Our no-code templates, low-code, co-creation, and developer API options provide you with simple, easy-to-use tools that can be utilized by anyone. As an AI Agent Engineer at IntelePeer, you will build, configure, test, and deploy the AI voice agents that power patient-facing interactions for healthcare customers. You are a core member of the delivery team — translating workflow design specifications into production-grade agent configurations, integrating real-time data from EHR and scheduling systems, and ensuring every deployed agent performs reliably and accurately against its defined success criteria. This role sits at the intersection of applied AI, voice infrastructure, and healthcare workflow automation. You will work closely with the Director of AI Agent Engineering, Solutions Architects, QA Engineers, and Customer Success Managers — taking clean designs and turning them into working, tested, customer-ready solutions. The right candidate brings hands-on experience with conversational AI or voice platforms, a methodical approach to build and testing, and the judgment to know when a design needs to be flagged before it becomes a production problem.

Requirements

Prior experience in healthcare technology, with working knowledge of EHR/PM platforms and an understanding of HIPAA data handling requirements.
Familiarity with IntelePeer SmartFlow, Genesys, Amazon Connect, Nuance, or similar CCaaS/CPaaS platforms.
Hands-on experience with LLM-based agent development, including prompt engineering and retrieval-augmented generation (RAG) patterns in production contexts.
Experience with voice-specific technical concepts including ASR/TTS configuration, telephony integration, DTMF handling, and latency-sensitive response tuning.
Background contributing to team engineering standards — testing frameworks, build checklists, documentation templates, or reusable component libraries.

Responsibilities

Build AI voice agent solutions within the IntelePeer SmartFlow platform — configuring conversational flows, NLU intent models, business rule logic, slot-filling patterns, and multi-turn dialogue structures from approved design specifications.
Translate workflow design documents produced by the Healthcare AI Workflow Solutions team into precise, testable agent configurations that faithfully implement the intended customer experience.
Identify and resolve ambiguities in design specifications before build begins — escalating design gaps to the Director and Workflow Solutions team rather than making undocumented interpretation calls independently.
Leverage AI-assisted development tools to accelerate build velocity, generate configuration drafts, and identify coverage gaps in conversational flows.
Build and maintain real-time integrations between AI agents and healthcare data systems — including EHR/PM platforms such as Dentrix, Dentrix Ascend, Epic, and athenahealth — enabling agents to retrieve and act on live patient and scheduling data.
Implement API integrations following IntelePeer's standards for authentication, error handling, retry logic, and data transformation — ensuring integrations are robust, well-documented, and maintainable.
Test integrations under realistic data conditions including edge cases, missing data states, API latency, and failure scenarios — validating that fallback behavior is safe and patient-appropriate.
Conduct thorough self-testing of all AI agent builds before advancing to formal QA — including functional testing of all defined flows, boundary condition testing, integration validation, and end-to-end scenario testing.
Collaborate with QA Engineers to support test case development, reproduce defects, and validate fixes — treating QA feedback as a quality partnership rather than a handoff.
Maintain accurate build documentation — including configuration change logs, integration specs, and known limitations — so QA and Customer Success always have a current picture of what was built and why.
Actively contribute to the team's testing frameworks and best practices, helping improve the efficiency and coverage of quality processes over time.

Benefits

Unlimited Vacation for exempt employees
Paid Holidays
Competitive medical, dental & vision insurance for employees and their dependents
401K Retirement Plan
Stock Options
Company-paid life insurance
Health & Flexible Savings Accounts
Cell phone, gym, and internet reimbursement
Paid Parental Leave
Tuition Reimbursement
Employee Assistance Program (EAP)
Free snacks (Denver, and or Fort Lauderdale)
Fun events (virtual and in-person)