Co-op -- Applied AI

Responsibilities

• 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

Requirements

• 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.

What You'll Work On

• 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 We're Looking For

• 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.

Curiosity, grit, and a drive to build things that feel like magic. No degree requirements.