Senior Applied AI Engineer — Build LLM Agents (Remote)

Matcha; Northern (KY); Hybrid; USD 250,000 - 300,000; Full time

Benefits offered by this job

Home Office Stipend

Learning & Development Stipend

Health benefits

401(k) Plan

Paid Parental Leave

Flexible PTO

Unlimited token budget

Job summary

TLDR is seeking a senior AI product leader to own the development of new agents and platform capabilities across the company. You will design, implement, evaluate, and rollout AI-driven workflows, partnering with the Applied AI PM to prioritize what to build and making small product decisions independently.

You will collaborate with sales, revenue operations, editorial, and people ops to determine where LLMs belong in processes and measure outcomes with well-defined specs and evals.

Qualifications

• 5+ years experience including 2+ years building products and systems with LLMs, with at least one agent you took to production and still own.
• You code fluently with AI tools like Claude Code or Codex.
• You write evals as part of building, not after. You can say how you defined good, what you measured, and what you changed as a result.

Responsibilities

• Own the build out of new agents, skills, and platform capability for teams across TLDR.
• Build and deploy agents end to end, from design through implementation, evals, and rollout to internal users.
• Write the evals and specs that define what good looks like, so workflow quality is measurable rather than anecdotal.
• Partner with our Applied AI PM on what to build, and make the smaller product calls independently.
• Work directly with stakeholders in sales, revenue ops, editorial, and people ops to find where an LLM belongs in their process.

Skills

LLM Experience

Product Management

AI Coding

Tools

Claude Code

Codex

Job description

TLDR is seeking a senior AI product leader to own the development of new agents and platform capabilities across the company. You will design, implement, evaluate, and rollout AI-driven workflows, partnering with the Applied AI PM to prioritize what to build and making small product decisions independently.

You will collaborate with sales, revenue operations, editorial, and people ops to determine where LLMs belong in processes and measure outcomes with well-defined specs and evals.