AI Agent Engineer

The client needs an AI Agent Engineer to build and own its voice-AI agent infrastructure end to end on LiveKit - the orchestration layer, the prompting strategy across millions of consumer interactions, and continuous performance improvement through rigorous testing and iteration. It suits a deep voice-AI engineer or a strong, analytical, business-minded infrastructure engineer equally well., * Own it end to end: build the voice-AI infrastructure in-house from scratch on LiveKit - orchestration, prompting strategy, evaluation

• Real scale, real outcomes: millions of consumer interactions a month, tied directly to liquidation, containment, and conversion metrics
• Fast traction: ~$2M annualized run rate in a few months with a team of five, targeting $10M ARR this year

• 2+ years in voice AI, conversational AI, prompt engineering, speech systems, or related agentic workflows
• 3+ years in platform, infrastructure, or backend engineering
• Strong experience with Node.js, AWS, and SQL
• Shipped production systems in a startup or similarly fast-paced environment
• Experience with voice-orchestration platforms or agent frameworks such as LiveKit or equivalent
• Strong prompt-writing instincts and the ability to design resilient conversational flows for real-world edge cases
• Strong analytical skills and comfort tying technical work directly to business outcomes and ROI, * Voice-AI experience in production, even from a lesser-known company or background
• Built AI infrastructure or agentic systems at a startup or AI company, with a real sense of what production-grade means at scale
• LiveKit or other voice-orchestration-framework experience
• Business-minded: connects technical decisions to liquidation, containment, and conversion metrics, not just engineering metrics
• Strong prompt-engineering instincts, having designed conversational flows that handle edge cases gracefully under compliance constraints
• Telephony-infrastructure experience such as SIP trunking

Our client is a seed-stage startup using generative AI to automate consumer debt collection, a $35B market in the US alone. Its AI agents handle the full late-stage recovery process - asset research, pre-legal outreach, litigation, credit reporting, and enforcement actions like garnishments and liens - already outperforming human collectors 2x at a fraction of the cost and running 10M+ calls per month.

Founded 2024 · ~5 people (Seed) · Industry: AI Tools