Senior Software Engineer - AI Code Gen - Agent Engineer

🕒 July 29, 2025

🏢🏡 New York City – Hybrid

💵 $187k - $240k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Datadog

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2010

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

Cybersecurity • SaaS • Enterprise

Datadog is a comprehensive observability and security platform that provides integrated monitoring for infrastructure, applications, and cloud services. It enables organizations to gain end-to-end visibility into their technology stacks, optimize performance, and manage security threats in real time. Datadog's solutions include application performance monitoring, logs management, and operational analytics, making it essential for teams looking to improve their digital experience and streamline software delivery processes.

📋 Description

• 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-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers. • 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. • 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).

🏖️ Benefits

• 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.