What Youll Do:
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 customers 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, youll 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.
Youre a backend engineer with at least 5 years of professional experience who values code simplicity and performance. Youve shipped software that uses LLMs to production
You are passionate about Generative AI and its ability to help software engineers be more productive
You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields
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 experience writing developer tools (such as IDEs, static code analysis tools, or compilers)
You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience
