Senior Software Engineer, Applied AI

About this role

# Who We Are

🏔Product: TLDR’s mission is to increase tech's signal-to-noise ratio.

Today that means the largest network of tech newsletters in the world, with over 8M subscribers covering startups, software engineering, AI, cybersecurity, product, and more. What makes it work is who writes it. Every issue comes from people building in tech, not reporters covering it. Our writers keep their day jobs: two engineers at Coinbase write [TLDR Crypto](https://tldr.tech/crypto), engineers at DeepMind and Meta write [TLDR Dev](https://tldr.tech/dev), researchers at Anthropic and Adobe write [TLDR AI](https://tldr.tech/ai), and robotics and datacenter strategy leads at OpenAI and Meta write [TLDR Hardware](https://tldr.tech/hardware).

If it matters in tech, it's in TLDR. That's what makes TLDR the best place to find what you need to learn.

💪Team: Our 31-person full-time team includes alumni of TikTok, Reddit, Amazon, Business Insider, Asana, Morning Brew, and Pinterest. We've stayed intentionally small, which means every person here owns a function rather than a slice of one.

📈Traction: We're bootstrapped, profitable, and on track for $35M in revenue this year - after $9M in 2024 and $20M in 2025. The advertisers who fund it want tech's decision-makers: AWS, Google Cloud, Anthropic, Slack, Notion, and GitHub.

# About the Role

TLDR's Applied AI program runs on one thesis: every process at the company should get better automatically as model capabilities improve. An LLM sits in the loop on every workflow, and the work of the people around it shifts from clicking and typing toward writing specs and evals and deciding what good looks like.

In this role, you will:

• 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 qualit...