Position Summary
Bentley’s software powers critical infrastructure around the world, and our documentation is a core part of how users experience our products. We’re building a new documentation platform and AI layer that makes our content easier to create, maintain, and consume — both by humans and by AI agents.
Bentley Systems
AI Documentation Engineer
Location: Dublin, Ireland (Hybrid)
We’re looking for an AI Documentation Engineer to design and build the systems that sit at the intersection of LLMs, structured content, and our docs toolchain. You’ll work closely with Documentation Leaders, Platform Engineers, and Product Teams to:
Use AI to assist writers and automate repetitive documentation tasks
Ensure our DITA‑based documentation is structured, enriched, and delivered in a way that AI systems can reliably consume
This is a hands‑on engineering role with a clear, high‑impact charter.
Responsibilities
Build AI‑assisted tooling for documentation
Develop services and utilities that help with classification, tagging, summarization, link and structure validation, and content quality checks.
Integrate these tools into our existing authoring and publishing workflows.
Make documentation AI‑ready
Design and implement transformations, pipelines, and metadata models so our DITA XML content is easy for AI to chunk, index, and reason over.
Work with architects and documentation leaders to define what “AI‑ready documentation” means in practice (structure, semantics, metadata, context).
Integrate with our docs stack and AI experiences
Work within our content pipeline (Oxygen/DITA, OpenDITA, Git, Azure DevOps pipelines) to add AI‑powered capabilities without disrupting writers.
Build and extend APIs that power AI‑driven documentation experiences, such as search and Q&A assistants.
Collaborate across teams
Partner with documentation leadership, platform/DevOps engineers, and product teams to identify high‑value automation and AI use cases.
Contribute technical insight to our Documentation Community of Practice on how to best prepare content for AI systems.
Qualifications
Engineering experience with one or more of: Python, TypeScript/JavaScript, or similar languages.
Hands‑on experience with AI/ML or LLMs, such as building RAG pipelines, integrating with LLM APIs, or developing AI‑assisted workflows.
Familiarity with structured content (DITA XML or similar), and comfort working with schema‑driven or strongly structured data.
Experience building or integrating with content or data pipelines (e.g., Git‑based workflows, CI/CD, message queues, or microservices).
Strong problem‑solving skills, curiosity, and an interest in how people discover and use technical content.
Ability to collaborate effectively with technical writers, platform engineers, and product stakeholders.
What We Offer
A great team and culture – please see our colleague video.
An exciting career as an integral part of a world‑leading software company providing solutions for architecture, engineering, and construction.
An attractive salary and benefits package.
A commitment to inclusion, belonging, and colleague well‑being through global initiatives and resource groups.
A company committed to making a real difference by advancing the world’s infrastructure for a better quality of life.
About Bentley Systems
Around the world, infrastructure professionals rely on software from Bentley Systems to help them design, build, and operate better and more resilient infrastructure for transportation, water, energy, cities, and more. Founded in 1984 by engineers for engineers, Bentley is the partner of choice for engineering firms and owner‑operators worldwide, with software that spans engineering disciplines, industry sectors, and all phases of the infrastructure lifecycle. Through our digital twin solutions, we help infrastructure professionals unlock the value of their data to transform project delivery and asset performance.
Equal Opportunity Employer
Bentley is proud to be an equal opportunity employer and considers for employment all qualified applicants without regard to race, color, gender/gender identity, sexual orientation, disability, marital status, religion/belief, national origin, caste, age, or any other characteristic protected by local law or unrelated to job qualifications.
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