Datadog is building a new team to integrate its platform into AI-focused IDE experiences like Cursor and GitHub Copilot, aiming to enhance developer productivity by 10x.
Requirements
- You’ve shipped software that uses LLMs to production
- You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields
- You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers)
Responsibilities
- Work on prompts, evals, and agent tools for working with code as part of the Datadog MCP server, and on the engineering to productionize these systems and integrate them within our customer’s IDE
- Help conceptualize and build innovative UIs within the Datadog Cursor / VSCode extension that work hand in hand with our groundbreaking AI experiences.
- Prototype and see what works well in the real world, iterate closely with our users, and then ship
- Follow the latest research on LLM prompt optimization, agents, and code editing.
- Support other Datadog product teams to help them build and productionize their developer-focused MCP toolings. For example, you’ll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of “one click to reproduce” for production errors.
Other
- You’re a backend engineer with at least 5 years of professional experience who values code simplicity and performance.
- You are passionate about Generative AI and its ability to help software engineers be more productive
- You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution
- You want to work in a fast, high-growth startup environment that respects its engineers and customers
- You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience
