Build internal AI tools and autonomous agents that embed into Retool's engineering workflows to boost developer productivity and reduce toil. Requires shipping real AI-powered developer tools and infrastructure.
155k – 315k/yr
Hybrid5+ YOEDevOps / SRE
About the role
Responsibilities
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
Requirements
Track record of building and shipping real tools or pipelines—not just models or papers
Experience integrating LLMs into development tools in impactful ways
Experience building developer tooling, internal platforms, or infrastructure that improves engineering productivity
Eye for developer experience: care how tools work and how they feel to use
Excitement to have AI as a core collaborator in the development lifecycle
Pragmatic mindset about what’s scalable and maintainable
Strong opinions, weakly held—you move quickly but bring others along
Nice-to-Haves
Experience with AI evaluation frameworks
Experience with observability and safety of model architectures
Skills
LLMsAI AgentsDeveloper ToolingInternal PlatformsInfrastructureContext EngineeringEvaluation FrameworksObservabilityModel ArchitectureSoftware Development Lifecycle
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