Senior AI/ML Engineer
Core
Design and ship AI systems (LLM agents, retrieval, event intelligence) that run in production at scale for PagerDuty's Operations Cloud, powering incident management and digital operations.
Role type
Senior IC AI/ML Engineer (LLMs & Distributed Systems)
Builds
AI-powered features including LLM agents, retrieval pipelines, and event intelligence for real-time incident management.
Domain
Digital Operations Management / AIOps / Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
distributed systems engineering, LLM application development, agent orchestration, retrieval patterns, cloud infrastructure, Kubernetes, system reliability, prompt engineering, evaluation & guardrails
Preferred skills
LLMOps tooling, anomaly detection, event correlation, vector databases, Kafka, Spark, LangChain, LlamaIndex
Technologies
AWS, GCP, Azure, Kubernetes, Kafka, Airflow, Spark, LangChain, LlamaIndex, Vector Databases
Responsibilities
Design and build AI-powered features on high-volume real-time event streams; Architect agent orchestration, retrieval pipelines, and low-latency inference systems; Ensure consistency, throughput, and fault tolerance under bursty load; Take AI features from prototype to production with evaluation loops; Partner with platform and product teams to integrate AI; Mentor team members and shape technical direction.
Seniority
Senior, hands-on IC