- 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
- 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 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
- Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development
- Have a lot of influence on product direction and impact on the business
- Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn
- Competitive global benefits
- Continuous professional development