About the Role :

As developers increasingly collaborate with AI agents to write and ship code, the pace of software delivery is accelerating beyond what traditional review processes can support. This shift is creating a new need for systems that allow teams to validate, control, and adapt software in real time. LaunchDarkly is building that critical layer, enabling companies to safely release changes, monitor behavior as it happens, and respond quickly when systems drift or break, whether in code or agent-driven workflows.

Trusted by more than 5,400 customers to manage millions of changes every day, our platform sits at the center of this transformation. As we accelerate our growth and invest in expanding our impact, this is a unique opportunity to join a team defining the future of software delivery. As an App Engineer focused on AI and Automation within LaunchDarklys IT and Internal AI team, you will build AI-powered workflows, agents, and automations that improve how employees work. You will partner with teams across the company and contribute to solutions that scale productivity across a global organization.

Responsibilities :

What Success Looks Like :

- Delivers AI-powered automations that are adopted by internal teams and reduce manual effort

- Demonstrates measurable impact through improvements in speed, cost, or efficiency

- Produces solutions that are reliable and maintainable

- Contributes to tool evaluations with clear, evidence-based findings

Must Have :

- Experience building applications, scripts, or automations using Python or similar languages

- Hands-on experience using AI-assisted development tools such as Claude Code or similar

- Working experience with data systems, including querying databases and working with structured datasets

- Experience using no-code or low-code automation and AI tools such as Workato, Glean, or similar

- Ability to deliver working solutions to clearly defined problems with appropriate guidance

Nice to Have :

- Experience contributing to production systems using version control, testing, and deployment practices

- Exposure to building or working with AI agents beyond prompt-based workflows

- Experience integrating APIs or multiple systems into a single workflow