Position Details
About this role
This role involves leading the development of AI-powered features for application performance monitoring, focusing on LLMs and agent-based systems to improve diagnostics and automation.
Key Responsibilities
- Design AI experiences for APM
- Develop LLM/agent workflows
- Prototype and iterate on AI features
- Build robust agent systems
- Collaborate with product and engineering teams
Technical Overview
Focus on AI/ML systems, LLMs, distributed tracing, telemetry, prompt engineering, and scalable deployment within Datadog’s platform environment.
Ideal Candidate
The ideal candidate is a product-minded AI engineer with 4+ years of experience in building backend and real-time ML systems, with proven expertise in deploying LLM and agent-based features at scale. They are skilled in AI tooling, evaluation, and developing scalable AI-enabled products.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with production AI systems, No experience with ML lifecycle, No familiarity with AI safety/guardrails, Unwillingness to work in a collaborative environment
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile