Senior AI Engineer – Notebooks

Datadog Datadog · Enterprise · Dublin, Ireland +4 · Remote · Dev Eng

Senior AI Engineer role focused on building AI-assisted workflows within Datadog Notebooks, integrating LLM-powered experiences and AI agents. The role involves leading design and delivery of AI product features, developing systems that combine deterministic and LLM capabilities, partnering with product, building experiences for third-party AI platforms, and owning production backend services. Requires hands-on experience with production AI products and LLM technologies, a strong product mindset, and experience managing model non-determinism.

What you'd actually do

  1. Lead the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces
  2. Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes
  3. Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations
  4. Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments
  5. Provide technical leadership and mentorship while helping establish AI engineering best practices

Skills

Required

  • Go, Python or similar systems programming languages
  • 6+ years of relevant engineering experience
  • hands-on experience delivering production AI-powered products and customer-facing experiences using LLM technologies
  • strong product mindset
  • experience building reliable systems that manage model non-determinism through evaluation frameworks, testing strategies, and operational excellence

Nice to have

  • mentorship

What the JD emphasized

  • hands-on experience delivering production AI-powered products and customer-facing experiences using LLM technologies
  • experience building reliable systems that manage model non-determinism through evaluation frameworks, testing strategies, and operational excellence

Other signals

  • AI-assisted workflows
  • collaborate with AI agents seamlessly
  • production AI-powered products
  • LLM-powered experiences
  • trustworthy and explainable customer outcomes
  • AI platforms, agents, and conversational environments
  • AI engineering best practices
  • manage model non-determinism through evaluation frameworks