Pagerduty

Senior AI/ML Engineer

Lisbon. Posted 2 months ago

The role

You will design and build AI-powered features including LLM agents, retrieval, and event intelligence. You will architect systems for agent and prompt orchestration, retrieval pipelines, and low-latency inference at scale.

What you will do

  • Design and build AI-powered features like LLM agents, retrieval, and event intelligence.
  • Architect systems for agent and prompt orchestration, retrieval pipelines, and tool/API integrations.
  • Manage low-latency inference and evaluation at scale.
  • Reason about consistency, throughput, fault tolerance, and cost across services.
  • Take AI features from prototype to production.
  • Establish evaluation, guardrail, observability, and improvement loops.
  • Partner with platform, product, and applied-research teams.
  • Raise the bar through reviews and mentorship.
  • Help shape the team's technical direction.

Required qualifications

  • 5+ years of software engineering experience.
  • Experience building and operating production distributed systems.
  • Hands-on experience building and shipping AI systems in production.
  • Strong programming fundamentals.
  • Solid grounding in applied AI fundamentals: prompting, retrieval, agent patterns, and LLM evaluation and guardrails.
  • Experience with cloud infrastructure (AWS, GCP, or Azure).
  • Experience with containers and orchestration (Kubernetes).
  • Strong communication and collaboration skills.

Nice to have

  • Experience with LLMOps tooling and patterns.
  • Deep experience serving LLM-based systems in production.
  • Background in anomaly detection, event correlation, or applied problems in observability, AIOps, or reliability.
  • Familiarity with LLM APIs and frameworks such as LangChain or LlamaIndex.
  • Familiarity with vector databases.
  • Familiarity with distributed data/compute tools such as Kafka, Airflow, or Spark.
  • Contributions to open-source AI or distributed-systems projects.

Benefits

  • Competitive salary
  • Comprehensive benefits package
  • Flexible work arrangements
  • Company equity
  • ESPP (Employee Stock Purchase Program)
  • Retirement or pension plan
  • Generous paid vacation time
  • Paid holidays and sick leave
  • Dutonian Wellness Days & HibernationDuty
  • Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent
  • Paid volunteer time off: 20 hours per year
  • Company-wide hack weeks

Before you apply

  • Candidates must reside in an eligible location.
  • Cannot employ candidates residing in specific regions of Australia, Canada, and the United States.

About the company

PagerDuty, Inc. is a global leader in AI-first digital operations. The PagerDuty Platform orchestrates AI agents and automated workflows for organizations scaling resilient, autonomous operations.

Senior AI/ML Engineer at Pagerduty | JobZoey