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# Software Engineer

- **Company:** Vanta Incorporated
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $195,000.0 - $229,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Code Review, Programming Tools, Software Engineering, Software Factory, Agentic-AI
- **Published:** October 25, 2026
- **Apply:** https://www.builtincolorado.com/job/senior-software-engineer-ai-developer-experience/11886008?handler=ApplyRedirect

## About the Role

* Substantial industry software engineering experience.
 * Experience taking technical leadership roles on teams or complex projects.
 * Experience improving AI systems, creating evaluation sets, and driving quality hill-climbing through measurement and iteration.
 * Strong software engineering fundamentals and experience designing, building, testing, and operating reliable systems.
 * Experience with developer tooling, AI-enabled workflows, agentic systems, infrastructure, or related technical domains.
 * A track record of working through ambiguity, decomposing complex problems, managing dependencies, and helping projects reach completion.
 * Experience working in rapidly scaling startups or larger companies, particularly in environments with a strong bias for action.
 * An action-oriented approach and a willingness to engage directly with users and contribute hands-on.
 * Product judgment and curiosity: you bring strong technical opinions while staying focused on building platforms that meet users where they are.
 * Strong written and verbal communication, with the ability to explain technical concepts clearly and create guidance that helps others adopt new tools.
 * A collaborative approach and a demonstrated ability to make meaningful contributions as part of a team.
 * Uses AI in day-to-day work to amplify their skills and strengthen their outcomes, applying it across routine workflows, actively building fluency through experimentation, and exercising sound judgment to ensure AI-assisted work meets a high quality bar.

## Description

* Plan, build, and improve background-agent infrastructure that enables reliable, trackable, and repeatable automated engineering work.
 * Develop systems for evaluating agent performance using task outcomes, quality measures, human intervention, cost, and other signals.
 * Create evaluation sets and feedback loops that help AI systems improve over time through regular review, tuning, and correction.
 * Improve how engineers discover, understand, and use shared AI tools and workflows.
 * Evaluate AI development tools, including code generation, AI-assisted review, and testing, against real engineering needs, and help integrate the ones that prove useful.
 * Develop visibility into which tools and workflows are useful, where they create friction, and how they should evolve.
 * Create clear guidance and documentation that helps engineers adopt new AI-enabled development practices.
 * Improve code review workflows by using feedback from real engineering work to identify and address recurring friction.
 * Influence the foundations of an autonomous software factory, including systems that help agents complete bounded engineering tasks safely and effectively.
 * Work directly with engineers and internal users to understand their needs, validate solutions, and make thoughtful product tradeoffs.
 * Help the team move ambiguous, dependency-heavy projects from early exploration through reliable delivery.
 * Raise the quality bar through thoughtful code reviews, technical design discussions, testing, observability, and attention to reliability and security.
 * Partner closely with engineers and cross-functional stakeholders while contributing as a dependable, collaborative teammate.