CollectWise — AI Agent Engineer
Listed on 2026-08-02
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Software Development
AI Engineer (Applied/Software)
Collect Wise - AI Agent Engineer
Type: Full-time | On-site | Manhattan, NY
Compensation: $200,000-$300,000 + 0.25%-1% equity
Hiring count: 1
Visa sponsorship: None available
Reports to: Sean, Founder & CEO (no Linked In provided)
Collect Wise is a YC-backed, 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 - and are already outperforming human collectors 2x at a fraction of the cost, running 10M+ calls per month.
Founded: 2024 | Team size: ~5 (Seed, 1-10) | Total funding:
Not disclosed (YC-backed)
Industry: AI Tools Website: collectwise.com Office:
Manhattan, NY
- Own it end-to-end: Build the voice AI infrastructure in-house from scratch on Live Kit and own the full stack - orchestration, prompting strategy, evaluation.
- Real scale, real outcomes: Millions of consumer interactions per month; the work ties directly to liquidation, containment, and conversion metrics, not just engineering metrics.
- Fast traction: $2M annualized run rate in a few months with a team of five, targeting $10M ARR this year.
An intake video is present on the Contrario role page, but no transcript or written intake summary is included in the source HTML. Not fabricated - capture from the intake video separately if needed.
The RoleCollect Wise needs an AI Agent Engineer to build and own its voice AI agent infrastructure end-to-end on Live Kit - the orchestration layer, the prompting strategy across millions of consumer interactions, and continuous performance improvement through rigorous testing and iteration. Equally suited to a deep voice AI engineer or a strong, analytical, business-minded infrastructure engineer.
What You'll Be Doing- Build Collect Wise's voice AI infrastructure on Live Kit from the ground up
- Design and own the architecture of real-time voice agent systems: orchestration, state management, latency optimization, prompting, and reliability
- Own the end-to-end prompting strategy: conversation flows, tone, compliance-safe phrasing, guardrails, and edge-case handling
- Build and maintain testing and evaluation frameworks: A/B testing, regression testing, conversation QA, benchmarking, and KPI reporting
- Write, expand, and continuously improve AI prompting to cover more real-world debt collection scenarios
- Iterate on performance data, call outcomes, and customer feedback to improve containment, conversion, liquidation rates, and customer satisfaction
- Optimize ASR, STT, TTS, turn-taking, interruption handling, and state transitions to improve voice quality
- Build scalable systems and tooling to support millions of voice interactions
- Migrate client implementations from legacy voice AI infrastructure to the latest systems while preserving client-specific customizations
- Work closely with product, operations, and leadership to translate business goals into high-performing voice agent behavior
Tech stack: Live Kit, Node.js, AWS, SQL; ASR/STT/TTS, real-time audio pipelines, SIP/telephony
Requirements- 2+ years of experience in voice AI, conversational AI, prompt engineering, speech systems, or related agentic workflows
- 3+ years of experience in platform, infrastructure, or backend engineering
- Strong experience with Node.js, AWS, and SQL
- Experience building and shipping production systems in a startup or similarly fast-paced environment
- Experience with voice orchestration platforms or agent frameworks such as Live Kit or equivalent
- Strong prompt writing instincts and ability to design clear, effective, and 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 no-name company or non-prestigious background.
- Has built AI infrastructure or agentic systems at a startup or AI company, understands what production-grade means at real scale
- Live Kit experience or direct experience with voice orchestration frameworks
- Business-minded, can connect technical decisions to liquidation rates, containment rates, and conversion metrics, not just engineering metrics
- Strong prompt engineering instincts, has designed conversational flows that handle edge cases gracefully under compliance constraints
- Infrastructure depth in Node.js, AWS, and SQL in a startup-paced environment where they owned what they built
- Experience with telephony infrastructure such as SIP trunking is a strong additional signal
- Pure academic or research background with no production deployment experience
- No analytical instincts, builds technically but cannot connect the work to business outcomes and ROI
- English communication skills not at native or near-native level. This is a hard filter due to the prompt engineering and compliance-sensitive consumer communication…
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