# AI/ML Engineer

**Company:** [PagerDuty](https://hotfix.jobs/companies/pagerduty)
**Location:** Lisbon, Portugal
**Role:** ML Engineering
**Experience:** 2+ years
**Skills:** LLMs, AI Agents, Retrieval-Augmented Generation, Prompt Engineering, Distributed Systems, Kubernetes, AWS, GCP, Azure, LangChain, Llamaindex, Vector Databases, Kafka, Airflow, Python
**Posted:** 2026-08-20

> Build and ship production AI/ML systems for real-time incident management, including LLM agents, retrieval pipelines, and inference services. The role suits an early-career software engineer with 2+ years of production experience and hands-on experience with modern AI.

## Job Description

## Responsibilities
- Contribute to AI-powered features, including LLM agents, retrieval, and event intelligence, operating on high-volume, real-time data.
- Build and maintain prompt and agent orchestration, retrieval pipelines, tool and API integrations, and inference services.
- Write code, add tests, and improve observability for AI-powered systems.
- Analyze and improve latency, throughput, cost, and reliability of LLM-powered services.
- Move AI features from prototype toward production and support evaluation and monitoring loops.
- Partner with platform, product, and applied-research teams to turn requirements into working code.
- Develop through code review, pairing, mentorship, and increasing ownership.

## Requirements
- 2+ years of software engineering experience building and shipping production software.
- Degree in computer science or a related field, or equivalent practical experience.
- Strong programming fundamentals and comfort with application and AI/model code.
- Hands-on experience building with LLMs, prompting, retrieval, or agent frameworks.
- Some exposure to distributed systems and reliable software at scale.
- Strong communication and collaboration skills.

## Nice-to-haves
- Personal, academic, or internship projects involving LLM applications, agents, RAG, or backend services.
- Exposure to AWS, Google Cloud, Azure, containers, or Kubernetes.
- Familiarity with LLM APIs, LangChain, LlamaIndex, vector databases, Kafka, or Airflow.
- Interest in agentic systems, LLM evaluation and guardrails, anomaly detection, or event correlation.
- Open-source contributions.

## Compensation and Benefits
- Competitive salary.
- Comprehensive benefits package.
- Flexible work arrangements.
- Company equity and ESPP eligibility may apply.
- Retirement or pension plan.
- Paid vacation, holidays, and sick leave.
- Wellness days and companywide paid days off.
- Paid parental leave, subject to local laws.
- 20 hours of paid volunteer time off per year.
- Company-wide hack weeks and mental wellness programs.
- Eligibility varies by role, region, and tenure.

## Similar jobs

- [AI Software Engineer](https://hotfix.jobs/jobs/c9a0e889-a36e-488f-87d0-e9c27ab63bf0) - Rollstack - Remote
- [AI Engineer - New Verticals](https://hotfix.jobs/jobs/4159c72e-536e-4211-969c-6bcb9ad805fd) - Protege - Remote
- [Senior AI Engineer – Notebooks](https://hotfix.jobs/jobs/fed3b705-a67d-4a63-8cff-b6c19357b4f7) - Datadog - Bordeaux, France
- [Senior AI/ML Engineer](https://hotfix.jobs/jobs/af6d6c0d-6dce-431c-b0f3-0b1befe939ef) - PagerDuty - Lisbon, Portugal
- [Staff Machine Learning Engineer](https://hotfix.jobs/jobs/2cb6da8f-4a54-448d-a4b6-fc05f1412a12) - Payabli - Remote

**Apply:** https://hotfix.jobs/jobs/8eaa313a-1ded-4e45-9f33-ec9fc9c0683e
**Canonical:** https://hotfix.jobs/jobs/8eaa313a-1ded-4e45-9f33-ec9fc9c0683e