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Build tools, systems, and processes that enhance developer productivity at Retool, including build systems, release pipelines, and testing frameworks.
ABOUT RETOOL
Nearly every company in the world runs on custom software for critical operations like tracking performance metrics, handling support workflows, building admin dashboards, and countless processes you might never have thought of. But most companies don't have the resources to properly invest in these tools, leading to a lot of old, clunky internal software, or worse, teams still stuck in manual and spreadsheet workflows.
AI has changed who gets to build software. The definition of "developer" now includes analysts, operators, and domain experts creating solutions directly—and the tools they reach for are multiplying by the week. That's both an opportunity and a challenge: as more people build with more AI tools, the risk of shipping ungoverned software into production grows just as fast.
At Retool, we're building the platform that makes all of it safe to ship. Build with any AI tool you want, then deploy into one place that connects to your real business data, enforces enterprise policies automatically, and lets teams create once and reuse everywhere with shared, trusted components. The cost of building software has collapsed. The cost of governing it hasn't—and that's the problem we solve.
Developers and domain experts have already automated over 100 million hours of work on our platform, freeing them to focus on creative problem-solving and strategic work that drives real business value. The people closest to the problem can now build the software to solve it, safely, and within enterprise guardrails.
Let's build the future together.
WHY WE'RE LOOKING FOR YOU
The same way that Retool is transforming how our customers interact with software entirely, our internal Developer Experience (DevX) team is evolving how engineering works within Retool.
We’re hiring AI DevX Engineers to help us push the boundaries of what Retool engineers can do with LLMs. If you’re passionate about building bespoke AI experiences for engineering teams—fast, reliable, and powerful—we want to talk.
WHAT YOU’LL DO
As an AI DevX Engineer, you’ll work across product and infrastructure layers to ship custom, internal-facing AI software that's both powerful and reliable. This means building tools that are intelligent, fast, and deeply embedded into the entire lifecycle of software development. These tools need the context and access to give superpowers to engineers working on any task, from writing code to responding to incidents.
Since human attention is now the critical bottleneck for our engineering work, you'll also be building AI tools that are capable and trustworthy enough to autonomously drive toil management work like fixing brittle tests, cleaning up old code, and updating stale documentation. In short, you'll free our engineers — yourself included — to focus on real innovation.
IN THIS ROLE, YOU WILL
- Build internal developer-facing AI tools and agents that are intelligent, fast, and deeply embedded into the software development lifecycle
- Create autonomous, resilient agents and evaluation frameworks to power an AI-driven software factory
- Drive context engineering that keeps AI-legible code, skills, and documentation reliable as the codebase moves fast beneath it
- Improve the performance, observability, and safety of the model architecture behind our internal AI tools
- Define and champion the workflows that maximize AI efficiency and accuracy across the organization
- Design processes for AI to evaluate and improve the state of code quality, test coverage, documentation freshness, and other toil
- Shape a model of AI-driven work where agents begin to own initiatives, proactively asking engineers for direction when greater judgment is required
WHO YOU'LL WORK WITH
You'll join a team of engineers working across the broad surface of developer experience and release engineering. You'll also partner with leaders and AI power users across the organization, incorporating their feedback into the development process and training them on workflows that will make them effective.
This is a high impact role where you'll be a part of defining what an AI-native development environment looks like, and building the infrastructure, processes, training, and guardrails that make it a reality. You'll be identifying and solving hard problems in a low-hierarchy organization where ambition is met with support, not gatekeeping.
THE SKILLSET YOU’LL BRING
- A track record of building and shipping real tools or pipelines—not just models or papers
- An eye for developer experience: you care how tools work and how they feel to use
- Experience integrating LLMs into development tools in impactful ways
- Experience building developer tooling, internal platforms, or infrastructure that improves engineering productivity
- Excitement to have AI as a core collaborator in the development lifecycle
- A pragmatic mindset about what’s scalable and maintainable
- Strong opinions, weakly held—you move quickly but bring others along
For candidates based in the United States, the pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings (OTE) for commissionable roles. This salary range may be inclusive of several career levels at Retool and will be narrowed during the interview process based on a number of factors such as (but not limited to), scope and responsibilities, the candidate’s experience and qualifications, and location.
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Retool provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
The base pay range for this role is $154,600 – $315,000 per year.
Retool offers generous benefits to all employees and hybrid work location. For more information, please visit the benefits and perks section of our careers page!
Retool is currently set up to employ all roles in the US and specific roles in the UK. To find roles that can be employed in the UK, please refer to our careers page and review the indicated locations.
Retool San Francisco, California, USA Office
Retool's headquarters is in San Francisco's Mission District within walking distance to the 16th St. Bart station, great coffee shops, and SF institutions like Dandelion Chocolate and Tartine Manufacturing. We have dedicated parking, secure bike storage, and 24/7 onsite security.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
