Co-op -- Applied AI

Plot Technologies · Engineering

Where: New York City
Posted: 6 days ago

Why Plot

Plot is building the next generation of social intelligence — an AI-native platform that helps some of the world's most influential brands understand culture, find emerging trends, and activate their communities at scale. We're a high-growth, venture-backed startup supported by the co-founders of Reddit and Plaid, with customers like Tory Burch, Lululemon, La Roche-Posay, and other household names.

We operate at the frontier of applied AI and agentic systems, ingesting and reasoning over millions of short-form videos to uncover consumer insights no one else can see. Our work impacts real product decisions, global marketing campaigns, and how brands engage their fans.

You'll join a small experienced team where engineers ship product — not tickets.

What you'd do

Build agentic, reasoning-driven systems on top of cutting-edge LLMs to power consumer intelligence, marketing automation, and influencer activation.
Collaborate deeply with product design to prototype, iterate, and ship AI features from 0→1. You'll be in Figma reviews, whiteboarding sessions, and user interviews — not just implementing handed-down specs.
Design & execute LLM/ML evaluation frameworks — from offline benchmarks to live A/B tests — to measure quality, reliability, and business impact.
Own full-stack AI product features: prompt design, orchestration, tooling, monitoring, and the UX that brings it all together.
Collaborate closely with founders, design, marketing, and customers to ensure our AI deliver real customer value
Stay at the front of the curve: research, prototype, and integrate emerging methods in agentic reasoning, context engineering, and LLM-driven automation.
Note: This role is not focused on training foundation models — it's about building high-leverage systems on top of them (think "Claude-Code over Claude-Model").

What they want

Proven track record shipping customer-facing products. You've built features users love and can move quickly across the entire stack — frontend, backend, infrastructure.
Deep, hands-on familiarity with LLMs — evaluation, prompt engineering, tool use, context management, and agentic workflows.
You stay current with the latest advances in AI and are excited to experiment with new techniques and apply them to real product problems.
Strong product sense and design instinct.
You have opinions about what makes AI experiences great — and what makes them terrible.
You're comfortable working with designers in the earliest stages, before the UX is settled, to collaboratively shape what the product should be.
You can wear multiple hats: engineer, product thinker, and user advocate.
High ownership mindset. You like talking to users, debugging real data, reading logs, and doing the unglamorous work required to build great AI products.
Curiosity, grit, and a drive to build things that feel like magic. No degree requirements.