Head of AI

About Us
We are a fast-growing and leading company in the AI Voice space for the iGaming industry. We replace inefficient manual processes with scalable, reliable, and high-performance AI technology. Our solutions are already used by 20+ brands across 8+ geographies. We are well-funded, ambitious, and building a team of top professionals.

What we need
We’re hiring a Head of AI (hands-on leader) who will own the technical vision and execution of our voice agent systems end-to-end. We already have an AI engineer, but we need someone more senior who can set direction, raise the quality bar, and reliably deliver production results.

Mission of the role
A senior owner responsible for building and scaling AI voice agents with strong quality, low latency, and controlled costs — plus the infrastructure to ship agents quickly across projects.

Primary outcomes
AI Voice Agent Infrastructure

• Create a solid infrastructure for fast development, testing, deployment, and iteration of voice agents.
• Enable rapid creation of personalized agents for different projects/clients.

1. Call Transcript Evaluation System
   • Build a reliable system that evaluates calls using transcripts:
     • Summaries
     • Outcome + intent detection
     • Call classification (lead quality, objections, next steps, disposition)
     • QA / scoring rubric (automated + human review loop)
2. Chat Agents for Leads
   • Build AI chat agents that communicate with warm and hot leads, qualify them, and push toward conversion / handoff.

Responsibilities
Own architecture and delivery of production-grade AI voice agents.

• Design conversation flows for outbound promotional calls (prompting + guardrails + objection handling).
• Improve agent reliability and quality (edge cases, interruptions, silence, ambiguous user input).
• Lead TTS strategy: selecting models, voice quality, and custom voice creation (where appropriate).
• Optimize latency and cost across the entire pipeline.
• Implement tooling and best practices for:
  • versioning and rollbacks
  • QA and evaluation harnesses
  • monitoring/observability (latency, errors, outcomes, conversion metrics)
  • repeatable agent templates and reusable components
• Mentor and upskill the existing AI engineer and set engineering standards.

Requirements
We need someone generally proficient in creating and deploying AI voice agents, including:
Voice agents & prompting

• Strong prompt engineering skills
• Experience designing prompts and dialogue logic specifically for outbound agents (promo/sales calls, objections, lead qualification)
• Understanding of how real-time voice agents work end-to-end (ASR → LLM → TTS, streaming, turn-taking, barge-in)

Platforms knowledge (as proficiency requirement)

• Proficient with voice-agent platforms such as Vapi, Retell, and/or LiveKit(or equivalent)
  • Recruiter guidance: they don’t need all three, but should have strong experience in at least one and understand the general category well.

TTS & voice
Strong knowledge of TTS models and practical tradeoffs (quality vs latency vs cost)

• Experience creating or integrating custom voices (where allowed/ethical/consented)

Performance & deployment
Proven ability to optimize latency and cost

• Experience building infrastructure for fast agent development and deployment
• Experience with evaluation of calls using transcripts:
  • summaries
  • classification
  • structured outputs / scoring

Nice-to-have
Experience building an internal “agent factory” (templates + reusable components + deployment pipeline)

• Experience with multichannel systems (voice + chat + CRM/lead systems)
• Experience with compliance-oriented conversation design (disclosure rules, consent flows, logging policies), depending on market

What we offer
Fully remote work format and flexible working hours.

• Competitive salary pegged to USD.
• 24 days of paid vacation (sick leave, national, religious, and company holidays).
• A friendly communication culture and transparent processes.
• Dynamic work environment.
• Opportunities for professional development and career growth.
• No micromanagement — just trust, ownership, and freedom to experiment.