Founding GenAI Engineer
About The Position
We unlock ground truth for the enterprises that power the global economy. There are billions of important conversations taking place in real time each day in hospitality, food service, retail, logistics and countless other industries - conversations with employees and conversations with customers. Until today, those conversations vanished into thin air the second they happened. Arbor turns in-person conversations into executive-grade strategic intelligence. We're closing enterprise contracts at companies in some of the most vital industries of the world. This problem is huge and there’s nothing quite out there to solve it. Come join us if you're a product builder who gets this space! The Role This is a foundational engineering hire. You'll report directly to our CTO and co-founder, and work shoulder-to-shoulder with him on the core product. Umi, our AI researcher, runs natural voice interviews with frontline employees and customers at scale, then turns thousands of conversations into intelligence leaders act on. It's voice, LLM applications, and data pipelines in one product. This role covers the best parts of the modern AI stack, and your fingerprints will be on all of it.
Requirements
- Strong engineering fundamentals and experience shipping production systems end-to-end
- Hands-on LLM experience (prompting, structured output, retrieval, evals) beyond demos
- Proficiency in Python and TypeScript, comfort across backend and frontend
- Bias to ship: you own problems end-to-end and iterate fast with real users
- Care for the humans behind every signal
Nice To Haves
- Real-time voice or audio experience (LiveKit, Pipecat, WebRTC, telephony, STT/TTS)
- Data pipeline or analytics engineering experience
- Early-stage startup experience or 0-to-1 product ownership
Responsibilities
- Build real-time voice agents (LiveKit, Pipecat, Twilio, Deepgram, ElevenLabs) that hold natural interviews at scale
- Design agentic LLM workflows and agent harnesses on OpenAI, Anthropic, and Google Gemini models: prompts, structured outputs, and evals
- Ship full-stack features end-to-end in Python/FastAPI and TypeScript/React
- Build pipelines that turn thousands of conversations into themes, quotes, and recommendations
- Make non-deterministic systems behave in production: observability, evals, guardrails
- Help shape engineering culture, tooling, and architecture as one of the first engineers
Benefits
- Meaningful equity and competitive pay
- Medical, dental, and vision for you and your dependents
- Flexible time off and supportive parental leave
- Bright NYC office, team meals, offsites, and customer travel
- Learning budget and top-tier gear
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
