or apply directly on PagerDuty's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 28 days PagerDuty's roles stay open a median of 33 days
- Reposted
- No
- Salary listed
- No 30% of PagerDuty's roles list one
- Ghost-job risk at PagerDuty
- moderate 14 stale, 1 reposted of 44 open
- Hiring momentum
- 53 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from PagerDuty's own greenhouse board since 2026-08-03. Full hiring picture for PagerDuty.
About this role
As an AI/ML Engineer at PagerDuty, you will work on building and shipping AI systems that operate at scale, focusing on features like Incident Management AI Agents and event intelligence. You will collaborate with senior engineers to tackle real production challenges, contribute to the development of AI-powered features, and learn about the intricacies of high-throughput systems. This role emphasizes growth through mentorship and hands-on experience in a dynamic environment.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of PagerDuty as an employer.
What you need
- 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
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
What you get
- Competitive salary
- Comprehensive benefits package
- Flexible work arrangements
- Company equity
- ESPP (Employee Stock Purchase Program)
- Retirement or pension plan
Worth weighing
- No specific salary listed
- Role is aimed at early-career candidates, which may imply a steep learning curve
- The position involves working with modern AI technologies, which could be beneficial for skill development
- Candidates must reside in eligible locations, which may limit applicants from certain regions
Summarised from PagerDuty's posting. Read the full original.
Listed by PagerDuty on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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