Senior Software Engineer - AI Code Gen - Agent Engineer

Overview

We’re a new team building AI‐assisted tools to make Datadog developers more effective by autonomously generating tests, fixing bugs, and improving performance. We’re looking for a product‐mindful generalist to help us quickly define and ship products that make all Datadog customers 10x developers. At Datadog, we value office culture, collaboration, and creativity. We operate as a hybrid workplace to enable work‐life harmony.

Responsibilities

• Work closely with users, designers, PMs, and data scientists on cutting‐edge, delightful LLM‐based agents.
• Develop prompts, evaluations, and agent tools for working with code, and productionize these systems in Datadog products.
• Prototype, iterate, and ship solutions based on real‐world feedback.
• Follow the latest research on LLM prompting, agents, and code editing.
• Collaborate with other Datadog teams to expand capabilities, such as integrating with Datadog IDE extensions for a Copilot‐like assistant or Dynamic Instrumentation for more runtime data.

Qualifications

• Backend engineer with at least 5 years professional experience (Go, Java, Python) who values code simplicity and performance.
• Shipped production software that uses LLMs.
• Passion for Generative AI and its potential to increase software engineer productivity.
• Experience with large‐scale systems, large‐scale data sets, machine learning, or adjacent fields.
• Community ambassador who can drive technical conversations toward pragmatic solutions.
• Goal‐oriented in fast, high‐growth startup environments that respect engineers and customers.
• Experience writing developer tools such as IDEs, static code analysis tools, or compilers.
• Demonstrated ability to use AI coding tools day‐to‐day, validate, critique, and refine AI‐generated output.
• Motivated to push AI boundaries to improve software engineering best practices and build AI‐enabled products.

Compensation

• Competitive salary and equity package, possibly including variable compensation.
• Compensation based on candidate’s skills, qualifications, and experience.
• Estimated yearly salary: $187,000 — $240,000 USD.

Benefits

• Competitive global benefits, healthcare, dental, parental planning, mental health support.
• 401(k) plan with match, paid time off, fitness reimbursements, and discounted employee stock purchase plan.
• Continuous professional development opportunities.
• Influential role with impact on product direction and business.