Senior FullStack Engineer

Arbor • New York City, NY

4d

About The Position

We unlock ground truth for the enterprises that power the global economy. Billions of critical conversations happen every day in retail, hospitality, food service, logistics, and beyond — with customers and employees. Historically, these insights disappear the moment they're spoken. Arbor turns in-person conversations into executive-grade strategic intelligence. We're signing real enterprise contracts in industries that power the global economy. The opportunity is massive, the problems are unsolved, and we need product-obsessed builders to join on our journey.

Requirements

• 5+ years shipping production software, including time as an early engineer at a seed/SeriesA startup
• Full-stack generalist
• Production experience in at least one of voice/audio, LLM apps, or data/insights pipelines
• Fluent in Python/FastAPI + TypeScript/React
• Working knowledge of LLM app development: prompts, structured output, retrieval, evals, and non-deterministic systems that hold up in prod
• AWS or GCP with multi-tenant SaaS security instincts (data isolation, PII, SOC 2)

Nice To Haves

• Staff/tech-lead IC ready to grow into eng lead within ~12 months
• Voice agent stack (LiveKit, Pipecat, Vapi, Retell, or custom on Twilio/Deepgram/ElevenLabs) + speech fundamentals (ASR, TTS, diarization, VAD)
• Data/analytics depth: warehouse modeling, DBT, owning an insights pipeline
• On-call comfort on a small team

Responsibilities

• Own features end-to-end with sharp product judgment — knows what to build, what to cut, when to push back
• Ship predictably and communicate clearly; credible with an enterprise VP of Ops on a customer call and async with a remote CTO
• Move across frontend, backend, and infra in a single PR
• Ship against flaky third-party APIs under latency/reliability pressure (telephony, real-time audio, payments, etc.)
• Develop production agentic LLM workflows: tool use, multi-step, eval-driven
• Be a foundational hire building AI for frontline enterprise
• Be the person paged during on-call rotations on a small team

Benefits

• Generational outcomes from equity
• Immediate ROI for customers
• Fast enterprise deal closing

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed