{"id":64314,"url":"https://alion.io/job/pagerduty-aiml-engineer","title":"AI/ML Engineer","company":{"id":2111,"name":"PagerDuty","domain":"pagerduty.com","url":"https://alion.io/company/pagerduty","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":85,"open_postings":10,"ghost_share":0,"stale_share":0.6,"repost_share":0,"time_to_fill_p50_days":38,"computed_at":"2026-10-19T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lisbon, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Cloudflare","optional":false},{"name":"Go","optional":false},{"name":"Incident Management","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"PagerDuty","optional":false},{"name":"Anomaly Detection","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-08-19T17:11:50Z","employer_posted_date":"2026-08-25","last_verified_at":"2026-10-19T22:48:59Z","board_verified":true,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":61},"description":"PagerDuty, Inc. (NYSE: PD) is the global leader in AI-first digital operations. By automatically detecting, diagnosing, and remediating issues, the PagerDuty Platform orchestrates AI agents and automated workflows with context from over 750 integrations. Trusted by approximately two-thirds of the Fortune 100 and nearly half of the Fortune 500, PagerDuty is the industry standard for organizations scaling resilient, autonomous operations. Notable customers include Chipotle, Cloudflare, Docusign, Fox, Nvidia, Salesforce, Spotify, Zoom and more. We are growing rapidly and hiring top talent with leading AI skills across engineering, sales, product, marketing, and beyond as we build the leading digital operations platform.\nAbout the role\nPagerDuty’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.\nIn this role you will help build and ship AI systems that run in production at PagerDuty’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.\nWe 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.\nWhat you’ll do\nContribute 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.\nHelp 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.\nLearn to reason about latency, throughput, cost, and reliability of LLM-powered services, and apply those lessons in the code you write.\nHelp take AI features from prototype toward production, and support the evaluation and monitoring loops that keep them accurate and trustworthy over time.\nPartner with platform, product, and applied-research teams, asking good questions and turning requirements into working code.\nGrow through code review, pairing, and mentorship, and steadily take on more ownership as you develop.\nWhat you’ll bring\n2+ years of software engineering experience building and shipping production software.\nDegree in CS/a related field, or equivalent practical experience.\nSolid programming fundamentals and comfort moving between application code and AI/model code.\nHands-on experience with modern AI - building something real with LLMs, prompting, retrieval, or agent frameworks.\nSome exposure to distributed systems and how software runs reliably at scale, and eagerness to deepen it.\nStrong communication and collaboration skills.\nNice to have\nPersonal, academic, or internship projects involving LLM apps, agents, RAG, or backend services.\nExposure to cloud infrastructure (AWS, GCP, or Azure), containers, or Kubernetes.\nFamiliarity with the ecosystem - e.g. LLM APIs and frameworks such as LangChain or LlamaIndex, vector databases, and orchestration/streaming tools like Kafka or Airflow.\nInterest in agentic systems, evaluation and guardrails for LLMs, or applied problems like anomaly detection and event correlation.\nContributions to open-source projects.\nWhy PagerDuty\nAt PagerDuty, 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.\nHesitant to apply?\nWe encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn’t the right role or time - sign up for job alerts!\nWhere we work\nPagerDuty 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:\nLocation restrictions:\nAustralia: Northern Territory, Queensland, South Australia, Tasmania, Western Australia\nCanada: Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, Yukon\nUnited States: Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming\nCandidates must reside in an eligible location, which vary by role.\nHow we work\nOur 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.\nPeople Leaders at PagerDuty are responsible for creating high performance environments that drive accountability. PagerDuty 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.\nWhat we offer\nAs 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.\nYour package may include:\nCompetitive salary\nComprehensive benefits package \nFlexible work arrangements\nCompany equity*\nESPP (Employee Stock Purchase Program)*\nRetirement or pension plan*\nGenerous paid vacation time\nPaid holidays and sick leave\nDutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO\nPaid 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)*\nPaid volunteer time off: 20 hours per year\nCompany-wide hack weeks\nMental wellness programs\n*Eligibility may vary by role, region, and tenure\nAbout PagerDuty\nPagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. The PagerDuty Operations Cloud is an AI-powered platform that empowers business resilience and drives operational efficiency for enterprises. 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. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses\nPagerDuty is Great Place to Work-certified™, a Fortune Best Workplace for Millennials, a Fortune Best Medium Workplace, a Fortune Best Workplace in Technology, and a top rated product on TrustRadius and G2. \nGo behind-the-scenes on our careers site and @pagerduty on Instagram.\nAdditional Information\nPagerDuty is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status. Your privacy is important to us. By submitting an application, you confirm that you have read and understand PagerDuty's Privacy Policy.\nPagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. 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