AI/ML Applied Engineer ($120k-$170k + Equity) at Karumi

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Job Title

AI/ML Applied Engineer

Salary

$120k-$170k + Equity

Company Description

Karumi is a Y Combinator (F25) startup building the "Waymo of personalized demos" by deploying AI agents that join video calls and navigate software in real-time. Founded by experts from IBM Research and StackAI, the 7-person team is scaling an agentic platform that eliminates demo wait times for global B2B SaaS customers.

Job Description

You will architect the core intelligence behind Karumi’s autonomous demo agents, bridging voice AI, browser automation, and LLMs. By designing real-time systems that listen, speak, and interact with web applications, you’ll directly impact how companies engage prospects. This role focuses on shipping production-grade agentic workflows that solve complex multimodal challenges.

Location

San Francisco, USA / New York, USA

Why this role is remarkable

• Join a YC F25 startup led by repeat founders from IBM Research and StackAI, already delivering thousands of demos to paying B2B customers.
• Work on a unique "Waymo-style" AI challenge involving real-time voice synthesis, computer vision for UI navigation, and complex LLM orchestration.
• Enjoy significant ownership and up to 1% equity as one of the first ten employees in a high-velocity engineering culture.

• Develop and optimize low-latency voice AI pipelines using STT/TTS models like Whisper and ElevenLabs for natural, real-time conversation.
• Design autonomous browser agents using Playwright and computer vision to navigate, understand, and interact with diverse web application interfaces.
• Engineer sophisticated LLM workflows and evaluation frameworks to ensure consistent, intelligent agent behavior across complex, multi-step sales demonstrations.

• 6+ years of engineering experience with a proven track record of shipping production-grade AI features or autonomous agents at early-stage startups.
• Deep expertise in Python, async programming, and modern AI stacks including OpenAI/Anthropic models, agent frameworks, and retrieval systems.
• Hands-on experience with browser automation tools like Playwright or Selenium and real-time audio streaming architectures for voice-based interactions.

Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.

And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.

How does this work?

• Jack's an AI agent for job searching and career coaching. He works for you.
• Jill is the AI recruiter working for the company. She recruits from Jack's network.
• If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.

This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.

Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.

We appreciate this can make them look a bit suspect, but there isn't much we can do about it.

Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.