Senior AI Engineer – Notebooks
Build and operate AI-powered, customer-facing workflows for Datadog Notebooks, combining reliable backend systems with LLM capabilities. The role requires 6+ years of engineering experience, Go or Python expertise, and experience delivering production AI products.
About the job
Responsibilities
- Lead the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces.
- Develop systems combining deterministic product capabilities with LLM-powered experiences to deliver trustworthy, explainable customer outcomes.
- Partner with Product to translate customer problems, adoption signals, and roadmap goals into technical decisions and iterations.
- Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments.
- Provide technical leadership and mentorship while establishing AI engineering best practices.
- Build and operate reliable backend services in the critical path of customer deployments, including on-call support.
Requirements
- 6+ years of relevant engineering experience.
- Experience with Go, Python, or similar systems programming languages.
- Hands-on experience delivering production AI-powered products and customer-facing experiences using LLM technologies.
- Strong product mindset, with the ability to connect technical decisions to customer outcomes and business impact.
- Experience building reliable systems that manage model non-determinism through evaluation frameworks, testing strategies, and operational excellence.
Benefits
- New-hire stock equity (RSUs) and employee stock purchase plan (ESPP).
- Continuous professional development, product training, and career pathing.
- Intra-departmental mentor and buddy program.
- Inclusive company culture and community guilds.
- Inclusion talks and internal panel discussions.
- Global Spring Health benefits for employees and dependents age 6+.
- Competitive global benefits, varying by country and employment arrangement.
Skills
Go, Python, LLMs, Ai Products, Backend Services, Evaluation Frameworks, Testing Strategies, Operational Excellence, AI Agents
Similar jobs
ML Engineering jobs
Hugging Face
Paris, France
Own and evolve Hugging Face’s open-source voice-agent stack and bring hf-voice from demo to production. The role requires senior experience with Python, distributed real-time systems, developer infrastructure, and production AI or multimodal models.
MongoDB
Cork, IrelandResearch, prototype, and ship statistical and machine learning features that improve MongoDB’s fleet stability, release safety, resource efficiency, and operational automation. The role requires 5+ years of hands-on ML development, strong Python and systems-design skills, and a master’s degree or equivalent quantitative experience.
PagerDuty
Lisbon, Portugal
Build and operate production AI systems, including LLM agents, retrieval pipelines, and event intelligence, across PagerDuty’s high-scale distributed platform. The role requires 5+ years of software engineering experience, production distributed-systems expertise, and hands-on experience shipping reliable LLM applications.
Hudl
Barcelona, SpainBuild and operate edge MLOps infrastructure for smart-camera machine-learning systems, including model deployment, TensorRT compilation, fleet updates, telemetry, and reliability. The role requires production MLOps experience, embedded inference optimization, and strong collaboration with data-science and embedded-engineering teams.
Black Forest Labs
Freiburg, Germany
Owns end-to-end post-training for frontier multimodal generative models, spanning reward modeling, preference optimization, distillation, safety tuning, evaluation, and deployment. The role requires prior experience shipping post-training improvements and strong PyTorch expertise.