Senior AI/ML Engineer, Real-Time AI at Scale

PagerDuty; Lisboa; Hybrid; EUR 90,000 - 140,000; Full time

Benefits offered by this job

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

Wellness days and accommodations

Job summary

PagerDuty is seeking a Senior AI/ML Engineer to join our Operations Cloud, shaping AI-powered features across real-time event streams. You will work at the intersection of distributed systems and applied AI, owning orchestration, retrieval pipelines, and low-latency inference in a scalable environment.

Ideal candidates have 5+ years building production AI systems, strong cloud and Kubernetes expertise, and a pragmatic approach to reliability.

Qualifications

• 5+ years of software engineering experience with production distributed systems.
• Hands-on experience building and shipping AI systems in production, including orchestration, serving, and evaluation.
• Strong programming fundamentals and ability to move between systems and AI code.
• Grounding in prompting, retrieval, agent patterns, and evaluating LLM behavior.

Responsibilities

• Design and build AI-powered features — LLM agents, retrieval, and event intelligence for high-volume, real-time streams.
• Architect and own agent orchestration, retrieval pipelines, tool/API integrations, and low-latency inference at scale.
• Ensure consistency, throughput, fault tolerance, and cost across services under bursty load.
• Move AI features from prototype to production with evaluation, guardrails, and observability loops.
• Collaborate with platform, product, and research teams to integrate AI into existing services.

Skills

Distributed systems

AI systems in production

Programming fundamentals

Applied AI fundamentals

Cloud infrastructure

Kubernetes

Communication skills

Tools

Kubernetes

LangChain

LlamaIndex

Kafka

Job description

PagerDuty is seeking a Senior AI/ML Engineer to join our Operations Cloud, shaping AI-powered features across real-time event streams. You will work at the intersection of distributed systems and applied AI, owning orchestration, retrieval pipelines, and low-latency inference in a scalable environment.

Ideal candidates have 5+ years building production AI systems, strong cloud and Kubernetes expertise, and a pragmatic approach to reliability.