AI Ops Engineer

Vim•New York, NY

5h•Onsite

About The Position

Build the AI infrastructure that runs the company. Every operational bottleneck at Vim is a build opportunity. We've already shipped AI agents that coach sales reps, field inbound calls from healthcare clinics, and route support issues before humans touch them. That's the starting line. You're the person who figures out what gets built next — and then builds it. Ship AI systems that change how the company operates. Systems that generate real outcomes, not impressive demos. A small team. Real systems. Direct impact. Vim's platform reaches 50,000+ clinical users across 13,000+ provider organizations. The AI infrastructure you build here touches every part of how we operate — sales, support, clinical, commercial. You won't be a feature team inside a big org. You'll be an early member of a small team where what you ship defines how the company runs. No layers. No months of planning. If you build it well, it generates revenue, removes friction, and makes every team around you faster. The growth path is real for someone who delivers.

Requirements

You've shipped AI-powered systems that real people use — not prototypes, not demos; production systems with real users and real stakes.
You're strong in Python and comfortable with APIs, data flows, and integrating third-party services.
You have hands-on experience with LLMs, prompt engineering, and agent architectures — you know what breaks in production and how to prevent it.
You've worked with orchestration tools — n8n, LangChain, or similar; you pick the right tool, not the trendy one.
You move from problem to working solution in days — not weeks of planning or spec-writing.
You have 3+ years building automation, internal tools, or AI-powered systems at a pace that matches your ambition.
You're comfortable when priorities shift — and you treat yesterday's work getting replaced by something better as progress, not waste.

Nice To Haves

Experience with voice AI, conversational AI, or real-time systems
Healthcare industry experience
Familiarity with MCP, Claude, HubSpot, or tools in our stack

Responsibilities

Hunt and eliminate operational bottlenecks — identify where time, money, or quality is leaking across the company and build the AI-powered solution that closes the gap.
Build the connective tissue — design and maintain infrastructure that links AI agents to the CRMs, databases, communication tools, and internal systems people actually use; the goal is zero friction, not another ticket queue.
Own the full product lifecycle — from a raw problem statement to a working agent in production; small utilities and complex systems like a voice-based SDR handling real conversations with real humans.
Design for reliability, not just novelty — build quality systems and monitoring that keep AI workflows performing in production, not just in demos.
Work across every team — if a function at Vim has a problem AI can solve, you're building the solution; no handoffs, no layers.