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.