> Markdown version of [/jobs/48352-senior-ai-ml-engineer](https://www.wearedevelopers.com/jobs/48352-senior-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI/ML Engineer - **Company:** PagerDuty - **Location:** Lisbon, Portugal (Remote available) - **Experience:** Expert - **Skills:** AI Frameworks, AI-assisted coding tools - **Published:** August 19, 2026 - **Apply:** https://careers.pagerduty.com/jobs/senior-ai-ml-engineer-lisbon-portugal ## About the Role ## What you’ll bring - 5+ years of software engineering experience, with meaningful time spent building and operating production distributed systems (high-throughput services, streaming/event-driven architectures, or large-scale data platforms). - Hands-on experience building and shipping AI systems in production — LLM-powered applications, agents, or retrieval — including the surrounding orchestration, serving, and evaluation, not just prototypes. - Strong programming fundamentals and comfort moving between systems and AI/application code. - Solid grounding in applied AI fundamentals: prompting, retrieval, agent patterns, and how to evaluate and guardrail LLM behavior. - Experience with cloud infrastructure (AWS, GCP, or Azure), containers, and orchestration (Kubernetes). - A pragmatic, reliability-minded mindset: you optimize for systems that work correctly at scale, and you can articulate the trade-offs behind your choices. - Strong communication and collaboration skills, and a track record of raising the quality of the teams and systems around you. ## Nice to have - Experience with LLMOps tooling and patterns — evaluation harnesses, prompt/version management, tracing and observability for agents, and online/offline eval consistency. - Deep experience serving LLM-based systems in production, including retrieval-augmented generation, multi-step agents, and tool use. - Background in anomaly detection, event correlation, or applied problems in observability, AIOps, or reliability. - Familiarity with the ecosystem — e.g. LLM APIs and frameworks such as LangChain or LlamaIndex, vector databases, and distributed data/compute tools such as Kafka, Airflow, or Spark. - Contributions to open-source AI or distributed-systems projects. ## Description - Design and build AI-powered features — LLM agents, retrieval, and event intelligence — that operate on high-volume, real-time event streams, from problem framing through production deployment and monitoring. - Architect and own the systems behind them: agent and prompt orchestration, retrieval pipelines, tool/API integrations, and low-latency inference and evaluation at scale. - Reason about consistency, throughput, fault tolerance, and cost across services that must stay reliable under bursty, unpredictable load. - Take AI features from prototype to production, establishing the evaluation, guardrail, observability, and improvement loops that keep them accurate and trustworthy over time. - Partner with platform, product, and applied-research teams to define what “good” looks like and to integrate AI cleanly into existing services. - Raise the bar through example, reviews and mentorship, and help shape the team’s technical direction. ## About PagerDuty PagerDuty is transforming critical work for modern enterprises. The AI-powered PagerDuty Operations Cloud empowers business resilience and drives operational efficiency. With a generative AI assistant at its core, PagerDuty empowers teams to detect and resolve issues in real time, orchestrate complex workflows, and drive continuous improvement across their digital operations. **Industries:** Enterprise Software [Company profile](https://www.wearedevelopers.com/companies/3994-pagerduty) ### More Jobs at PagerDuty - [Senior Product Manager](https://www.wearedevelopers.com/jobs/48353-senior-product-manager) ## Related Videos - [One AI API to Power Them All](https://www.wearedevelopers.com/videos/1601-one-ai-api-to-power-them-all) - [The End of Software as we know it](https://www.wearedevelopers.com/videos/1393-the-end-of-software-as-we-know-it) - [Mobile AI Just Got Faster: What’s Coming for Developers on Arm](https://www.wearedevelopers.com/videos/1420-mobile-ai-just-got-faster-what-s-coming-for-developers-on-arm) - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [Developer Relations in the World of Agents - Michelle Duke](https://www.wearedevelopers.com/videos/1898-developer-relations-in-the-world-of-agents-michelle-duke) - [A walkthrough on Responsible AI Frameworks and Case Studies](https://www.wearedevelopers.com/videos/509-a-walkthrough-on-responsible-ai-frameworks-and-case-studies) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)