AI/ML Engineer

United States Digital Space LLC; Lisboa; Híbrido; EUR 50 000 - 75 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary

Comprehensive benefits package

Flexible work arrangements

Company equity

ESPP

Resumo da oferta

PagerDuty, Inc. in Lisbon is seeking an early-career AI/ML Engineer to join the Operations Cloud team. You will work at the intersection of large-scale distributed systems and machine learning, building AI-powered features that run in production.

You will collaborate with senior engineers, learn to optimize latency and throughput, and contribute to real-time incident management AI agents, retrieval, and agent frameworks while growing toward ownership.

Qualificações

• 2+ years of software engineering experience building and shipping production software.
• Degree in CS/a related field, or equivalent practical experience.
• Solid programming fundamentals and comfort moving between application code and AI/model code.
• Hands-on experience with modern AI — building something real with LLMs, prompting, retrieval, or agent frameworks.
• Some exposure to distributed systems and how software runs reliably at scale.
• Strong communication and collaboration skills.

Responsabilidades

• Contribute to AI-powered features — LLM agents, retrieval, and event intelligence — that operate on high-volume, real-time data.
• Help build and maintain the systems behind them — prompt and agent orchestration, retrieval pipelines, tool/API integrations, and inference services.
• Learn to reason about latency, throughput, cost, and reliability of LLM-powered services.
• Help move AI features from prototype toward production and support monitoring to keep them accurate.
• Partner with platform, product, and applied-research teams and turn requirements into working code.
• Grow through code review and mentorship, taking on more ownership over time.

Conhecimentos

Software engineering

AI/ML fundamentals

Distributed systems

LLMs / prompting

Code quality & testing

Communication

Formação académica

CS degree or equivalent

Ferramentas

LangChain

LlamaIndex

Kafka

Airflow

Kubernetes

AWS/GCP/Azure

Descrição da oferta de emprego

the company (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust the company to help them deliver a perfect digital experience to their customers, every time. Teams use the company to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on the company to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization.

About the role

the company’s Operations Cloud runs on a platform that ingests billions of signals and turns them into real-time action for thousands of customers. We’re looking for an early-career AI/ML Engineer who is excited to grow at the intersection of two disciplines: large-scale distributed systems and machine learning.

In this role you will help build and ship AI systems that run in production at the company’s scale — powering Incident Management AI Agents, event intelligence, and the LLM-powered capabilities embedded across our platform. You’ll work alongside senior engineers on real production problems, learning how AI features go from a prototype to something that serves reliably at scale.

We are looking for a candidate who is genuinely excited about building with modern AI — LLMs, agents, and retrieval — eager to learn how resilient, high-throughput systems are built, and motivated to grow into an engineer who is strong in both.

What you’ll do

• Contribute to AI-powered features — LLM agents, retrieval, and event intelligence — that operate on high-volume, real-time data, with support and guidance from senior engineers.
• Help build and maintain the systems behind them — prompt and agent orchestration, retrieval pipelines, tool/API integrations, and inference services — writing code, adding tests, and improving observability.
• Learn to reason about latency, throughput, cost, and reliability of LLM-powered services, and apply those lessons in the code you write.
• Help take AI features from prototype toward production, and support the evaluation and monitoring loops that keep them accurate and trustworthy over time.
• Partner with platform, product, and applied-research teams, asking good questions and turning requirements into working code.
• Grow through code review, pairing, and mentorship, and steadily take on more ownership as you develop.

What you’ll bring

• 2+ years of software engineering experience building and shipping production software.
• Degree in CS/a related field, or equivalent practical experience.
• Solid programming fundamentals and comfort moving between application code and AI/model code.
• Hands-on experience with modern AI — building something real with LLMs, prompting, retrieval, or agent frameworks.
• Some exposure to distributed systems and how software runs reliably at scale, and eagerness to deepen it.
• Strong communication and collaboration skills.

Nice to have

• Personal, academic, or internship projects involving LLM apps, agents, RAG, or backend services.
• Exposure to cloud infrastructure (AWS, GCP, or Azure), containers, or Kubernetes.
• Familiarity with the ecosystem — e.g. LLM APIs and frameworks such as LangChain or LlamaIndex, vector databases, and orchestration/streaming tools like Kafka or Airflow.
• Interest in agentic systems, evaluation and guardrails for LLMs, or applied problems like anomaly detection and event correlation.
• Contributions to open-source projects.

Why the company

At the company, AI it’s core to how we help the world’s teams keep their digital services running. This is a place to start your career on problems where scale, latency, and correctness genuinely matter, surrounded by engineers who will invest in helping you grow and who build systems that people depend on in their most critical moments.

Where we work

the company operates a hybrid work model with offices in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we cannot employ candidates residing in:

**Location restrictions:Australia:** Northern Territory, Queensland, South Australia, Tasmania, Western AustraliaCanada: Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, YukonUnited States: Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming*Candidates must reside in an eligible location, which vary by role.*

How we work

Our values guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian.

People Leaders at the company are responsible for creating high performance environments that drive accountability. the company has four key dimensions that define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and Lead the Future. Each dimension has three associated competencies to give leaders a shared language for guiding their development, career, promotion, and succession planning discussions. Our Manager Expectations serve as a practical guide for managers to understand their responsibilities, prioritize their efforts, and drive engagement and performance.

What we offer

As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations. Learn more, including country-specific offerings, on our benefits site.

Your package may include:

• 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 - companywide paid days off in addition to PTO
• Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)*
• Paid volunteer time off: 20 hours per year
• Company-wide hack weeks
• Mental wellness programs

*Eligibility may vary by role, region, and tenure

About the company

the company, Inc. (NYSE:PD) is a global leader in digital operations management. The PagerDut