AI/ML Engineer
Core
Build and ship AI systems (LLM agents, retrieval, event intelligence) that run in production at scale for PagerDuty's Operations Cloud.
Role type
Early-career AI/ML Engineer (distributed systems & ML)
Builds
Incident Management AI Agents, event intelligence, and LLM-powered platform capabilities
Domain
Digital Operations Management / SaaS
Deliverable
production ML models | product features
Required skills
software engineering, LLMs, prompting, retrieval, agent frameworks, distributed systems fundamentals, latency/throughput optimization, observability
Preferred skills
cloud infrastructure (AWS/GCP/Azure), containers, Kubernetes, vector databases, Kafka, Airflow, agentic systems, anomaly detection
Technologies
LangChain, LlamaIndex, Kafka, Airflow, vector databases
Responsibilities
Contribute to AI-powered features on high-volume real-time data; build and maintain prompt/agent orchestration and inference services; reason about latency, throughput, cost, and reliability; support evaluation and monitoring loops; partner with platform and product teams; grow through code review and mentorship
Seniority
Early-career, hands-on IC