AI Engineer — Conversational, Voice & Call Intelligence (Project Based)

Teamficient; United States; Remote; USD 110,000 - 220,000; Full time

Job summary

TeamFicient is seeking an AI Engineer to build our conversational AI stack for outbound voice, chatbot, and call-audit systems. You will own end-to-end execution on a solo, fixed-scope engagement, with RFQ submission including approach, timeline, and cost.

Remote work is allowed with flexible hours across EST/CST/PST, spanning multiple regions. You will collaborate minimally with IT touchpoints, while maintaining strict data-security standards for call data and privacy.

Qualifications

• Experience building conversational AI systems on an LLM platform.
• Experience with audio transcription and speech-based AI pipelines.
• CRM/telephony API integration experience (GoHighLevel or comparable).
• Strong understanding of data security/restricted-access handling for call recordings.

Responsibilities

• Design and build outbound voice and chat systems for sales and support.
• Create knowledge-base structures and update processes for the chatbot.
• Transcribe and evaluate calls, scoring tone, sentiment, and professionalism.
• Integrate outcomes, transcripts, and summaries with CRM systems.
• Design for portability across telephony providers and future deployments.

Skills

Conversational AI

LLM platforms

CRM/telephony API integration

Data security & access control

Tools

GoHighLevel API

Twilio API

Vonage API

RingCentral API

Job description

AI Engineer — Conversational, Voice & Call Intelligence (Project Based)

AI Engineer — Conversational, Voice & Call Intelligence (Project Based) Covers: AI Call Outbound + Chatbot (Tech/Sales Support) + AI Call Audit & Evaluation Company: TeamFicient Location: Remote Employment Type: Contract — Project-Based, Fixed-Scope Rate: Proposed by candidate via RFQ (rate, timeline, and estimated hours) Work Schedule:

Self-directed, solo execution of the full project scope

IT agent touchpoints and management check-ins only as needed to review progress

Timeline and hours are proposed by the candidate in their RFQ

Why Join Us?

At TeamFicient, our team spans multiple countries and regions, and we stay connected by operating within EST, CST, and PST time zones.

Work Without Borders: Collaborate daily with experts from worldwide and gain international exposure.

Built for Remote: Join a fully remote culture designed for autonomy, flexibility, and trust.

Diverse Perspectives: Be part of a multicultural team where different backgrounds are our greatest strength.

Grow Globally: Expand your career on a global stage, learning how business works across different cultures and continents.

About the Role

TeamFicient is looking for an AI Engineer to build our conversational-AI stack: outbound voice, chatbot, and call-audit/intelligence systems. All three projects share the same core stack — LLM integration, telephony/audio pipelines, and CRM/API integration — so a strong conversational-AI/ML engineer can move across all three. This is a solo, fixed-scope engagement: you own execution end to end, with IT touchpoints and management check-ins only as needed. You'll submit your own RFQ (proposed approach, timeline, hours, and cost) as part of the process.

Core Responsibilities Voice & Chat Build

Design dynamic (non-scripted) conversation flows for outbound sales/follow-up calls and a support/sales chatbot, including intent handling, objection handling, and human escalation logic

Build knowledge-base structures and content-update processes for the chatbot

Transcribe and evaluate existing calls (Zoom Phone / AWS workflow) — scoring 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 telephony providers (8x8, Vonage, RingCentral, Ooma) and future client-facing deployment

Maintain restricted access and data-protection standards for customer call data

Candidate Qualifications Must-Haves

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/restricted-access handling for call recordings

Good to Haves

Experience with sentiment/speech analytics tooling specifically

Prior work productizing an internal AI tool for external/client use

VoIP/telephony API experience (Twilio, Vonage, etc.) beyond GHL