AI Engineer – Conversational, Voice & Call Intelligence

Teamficient

. Design dynamic, non-scripted conversation flows for outbound sales/follow-up calls and a support/sales chatbot .

Posted 9/18/2026contractRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing conversational AI systems, including intent handling and objection handling, while ensuring data security and compliance. Proficient in integrating CRM systems and telephony APIs to enhance customer interactions and support deployment.

Highest-signal resume keywords

Conversational AI System DevelopmentAudio Transcription and Speech-Based AICRM/Telephony API IntegrationData Security and Restricted Access HandlingSentiment/Speech Analytics Tooling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Conversational AIIntent HandlingObjection HandlingAudio TranscriptionSpeech-Based AI PipelinesCRM IntegrationTelephony API IntegrationSentiment AnalyticsData Protection StandardsChatbot Knowledge-Base Development

Tools & Technologies

OpenAIGeminiAWSGoHighLevelTwilioVonage8x8RingCentralOoma

Industry Keywords

Voice AIChatbotQA CriteriaClient-Facing DeploymentNDAProject Agreement

Tech Stack

Tools & technologies

AWSVoIP

About the role

Key responsibilities & impact

Design dynamic, non-scripted conversation flows for outbound sales/follow-up calls and a support/sales chatbot
Implement intent handling, objection handling, and human escalation logic
Build chatbot knowledge-base structures and content-update processes
Transcribe and evaluate existing Zoom Phone/AWS calls
Score tone, sentiment, professionalism, and compliance against defined QA criteria
Integrate call/chat outcomes, transcripts, and summaries with GoHighLevel and/or CRM systems
Design for future portability across 8x8, Vonage, RingCentral, and Ooma
Support future client-facing deployment
Maintain restricted access and data-protection standards for customer call data
Own execution end to end within a solo, fixed-scope engagement
Participate in IT touchpoints and management check-ins as needed to review progress

Requirements

What you’ll need

Experience building conversational AI systems (voice and/or chat) on an LLM platform, not just scripted IVR/decision-tree bots
Experience with audio transcription and speech-based AI pipelines (OpenAI, Gemini, AWS, or similar)
CRM/telephony API integration experience (GoHighLevel or comparable)
Strong understanding of data security and restricted-access handling for call recordings
Experience with sentiment/speech analytics tooling specifically (good to have)
Prior work productizing an internal AI tool for external/client use (good to have)
VoIP/telephony API experience, such as Twilio or Vonage, beyond GHL (good to have)
Portfolio of relevant, comparable work
RFQ covering proposed work, implementation approach, inclusions/exclusions, estimated timeline and hours, total and recurring costs, required TeamFicient inputs, risks, limitations, and assumptions
Willingness to sign an NDA and Project Agreement before receiving full project details and credentials
Willingness to undergo a background check

Benefits

Comp & perks

Self-directed, solo execution of the full project scope
Fully remote culture designed for autonomy, flexibility, and trust
International exposure through collaboration with a worldwide team
Multicultural team and global career growth opportunities