Senior Software Engineer - AI Code Gen - Agent Engineer
About the role
We're a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.
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.
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 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 demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
- You're motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.
Qualifications
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
Skills
- Backend Engineering
- Languages: Go, Java, Python
- Experience with Large Language Models
- Machine Learning
- Experience with Developer Tools
- Experience with AI Coding Tools
Benefits
- Competitive global benefits
- Continuous professional development
Pay
Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
Schedule
We're a fast-paced startup environment that respects its engineers and customers.