JOB-1195

  • Permanent
  • NYC, NY

Target Salary: $200,000 – $300,000

COMPANY BACKGROUND

It is the leading conversation intelligence software for outside sales. The company helps sales reps in industries like solar, roofing, and real estate by recording and analyzing their in-person customer conversations. Its AI automatically transcribes and delivers insights to improve performance. It aims to bring conversation intelligence beyond Zoom and call centers to more than 10M offline salespeople.

JOB SUMMARY

AI Engineers are redefining how humans interact with machines through real-world audio data. You will architect and deploy AI systems that allow users to talk to Software like a human. The role involves building a first-of-its-kind audio intelligence pipeline, shaping the company’s AI stack, and developing voice-first interfaces and search tools for messy, unstructured offline conversations.

This role is ideal for engineers with strong applied AI/LLM experience, comfort working directly with customers, and the drive to build systems in a fast-paced, ambitious environment.

RESPONSIBILITIES

  • Architect and ship AI-powered systems for real-world audio conversations.
  • Build a voice-first interface enabling natural speech interaction with the software.
  • Develop search engines that extract insights from previously unsearchable voice data.
  • Shape the foundation of Software’s AI stack, invent new tooling and models.
  • Work across the AI lifecycle: data acquisition, training, real-time inference, user-facing chat.
  • Collaborate directly with customers to ensure product adoption and impact.

QUALIFICATIONS

  • 1+ years of software engineering experience with strong applied AI/LLM exposure.
  • Proven experience building & deploying AI/LLM systems in production.
  • Proficiency in Python for AI/ML development. Familiarity with AI tools (eval frameworks, agent tooling, prompt engineering).
  • Customer-focused mindset, strong curiosity, willingness to work in person ~70 hrs/week.

NICE TO HAVE

  • Startup or founding engineer experience.
  • Experience with search-related LLM agent work.
  • Familiarity with RAG or related approaches.