Related skills
java python go llms static code analysisπ Description
- Work with users, designers, PMs, and data scientists on LLM-based agents.
- Build prompts, evals, and agent tools for code, productionizing them with Datadog.
- Prototype, test with users, iterate, and ship.
- Follow research on LLM prompting, agents, and code editing.
- Collaborate with Datadog teams to expand capabilities (IDE extensions, Copilot-like help).
π― Requirements
- Backend engineer with 5+ years (Go/Java/Python) shipping software using LLMs.
- Passionate about Generative AI to help software engineers be more productive.
- Experience with LLMs, large-scale systems and data sets, ML or related fields.
- Strong community ambassador and can drive technical conversations to pragmatic solutions.
- Want to work in a fast, high-growth startup environment that respects engineers and customers.
- Experience writing developer tools (IDEs, static code analysis, or compilers).
- Demonstrated ability to use AI coding tools in day-to-day workflows and critique/refine AI output.
- Bonus: motivated to push the boundaries of how AI can improve software engineering.
π Benefits
- New hire stock equity (RSUs) and ESPP
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds
- Access to Inclusion Talks and internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
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