> Markdown version of [/jobs/ext/2918658-software-engineer-applied-ai](https://www.wearedevelopers.com/jobs/ext/2918658-software-engineer-applied-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Applied AI - **Company:** TLDR LLC - **Location:** San Diego, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $250,000.0 - $300,000.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Large Language Models, Legacy Systems - **Published:** September 15, 2026 - **Apply:** https://www.builtincolorado.com/job/senior-software-engineer-applied-ai/11175276?handler=ApplyRedirect ## About the Role * 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. ## Description 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 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. What Success Looks Like * Every workflow at the company improves as model capabilities improve. * Teams write specs and evals and define what good looks like, rather than executing manually, and their processes improve as models improve without anyone rebuilding them. * Work becomes increasingly push vs pull, by default work is done by LLMs and humans are brought in as needed., * You have product judgment: you can say what you chose not to build, and why. * You're comfortable in a domain where settled practice doesn't exist yet. * You can sit with non-engineering stakeholders and find where an LLM belongs in their process. * The way you build has changed as models have gotten better, and you treat capability improvement as a design input. * You want surface area across nearly every function of a profitable, bootstrapped company, with no legacy systems to fight, direct CEO access, and an unlimited token budget. ## Related Videos - [Creating Industry ready solutions with LLM Models](https://www.wearedevelopers.com/videos/899-creating-industry-ready-solutions-with-llm-models) - [How to TDD in legacy code](https://www.wearedevelopers.com/videos/309-how-to-tdd-in-legacy-code) - [Edit Your Future: Queerverse Radical AI](https://www.wearedevelopers.com/videos/909-edit-your-future-queerverse-radical-ai) - [You are not an AI developer](https://www.wearedevelopers.com/videos/1148-you-are-not-an-ai-developer) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [Getting to Know Your Legacy (System) with AI-Driven Software Archeology](https://www.wearedevelopers.com/videos/1437-getting-to-know-your-legacy-system-with-ai-driven-software-archeology) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Never delegate the understanding](https://www.wearedevelopers.com/magazine/749-never-delegate-the-understanding) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)