Datadog is looking to build AI-assisted tools to make their developers more effective by autonomously generating tests, fixing bugs, and improving performance.
Requirements
- You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance.
- 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 closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
- Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
- Prototype and see what works well in the real world, iterate closely with our users, and then ship.
- Follow the latest research on LLM prompting, agents, and code editing.
- Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.
Other
- We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
- 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.
- Datadog values people from all walks of life.
- Datadog is an Affirmative Action and Equal Opportunity Employer
