Transformation Engineer

Learnosity

Transformation Engineer driving AI adoption in assessment technology, shaping the foundational engineering practices as part of a new team.

Posted 7/16/2026full-timeDublin • 🇮🇪 IrelandJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong Python Engineering Skills and a solid understanding of LLMs, with the ability to design and deliver AI capabilities and integrate APIs into enterprise systems. Effective in coaching teams and driving adoption of AI solutions while ensuring clear documentation and communication with stakeholders.

Highest-signal resume keywords

Python Engineering SkillsLLM KnowledgeAI Agent DevelopmentAPI Integration ExperienceClear Communication

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Hard Skills

PythonPrompt EngineeringRAG ConceptsAI Solution DeploymentAPI Development

Soft Skills

CoachingClear CommunicationCuriosity

Tools & Technologies

ClaudeOpenAIGeminiGoogle WorkspaceAtlassianSalesforceHubSpotZendeskSlackXero

Industry Keywords

AI CapabilitiesIntelligent AutomationDocument IntelligenceEnterprise Technology StackCross-Functional Work

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Support discovery sessions with functional teams and leaders, helping translate business problems into technically actionable briefs.
Contribute to a prioritised build pipeline, in partnership with the BizOps team, focused on highest-value, highest-feasibility opportunities first.
Ask good questions about whether a technology solution is the right answer - the goal is better outcomes, not more AI.
Design and deliver AI capabilities - agents, internal copilots, knowledge assistants, intelligent automation, RAG systems, document intelligence, and agentic workflows with increasing independence as your experience grows.
Contribute to integrations across Learnosity's enterprise technology stack, connecting systems and closing gaps that slow teams down.
Build for reuse - solutions and components should be adaptable across functions, not purpose-built and abandoned.
Document your work clearly so knowledge compounds across rotations.
Help drive adoption, not just deployment - a solution that isn't used hasn't delivered value.
Coach the teams you work with through practical training and documentation, working up to leading this independently.
Contribute to practical guidance, prompt libraries, and playbooks tailored to each function's real workflows.
Support well-designed handoffs so what you help build keeps running reliably after you rotate out.
Flag security and privacy considerations early, escalating to COPO or the relevant team when unsure.
Support the evaluation of new AI tools alongside Security, Legal, and Internal IT.
Share what you learn across rotations - what worked, what didn't, and ideas worth exploring further.

Requirements

What you’ll need

Solid Python engineering skills - able to build, test, and deploy production-grade AI solutions.
Working knowledge of LLMs - prompt engineering, basic RAG concepts, tool use, and structured outputs. You're curious about how these models behave and fail, not just how to call an API.
Some hands-on exposure to building AI agents or automated workflows - through work, side projects, or personal experimentation.
Comfortable working directly with model provider APIs and SDKs - Claude, OpenAI, Gemini.
Some experience (or strong aptitude) integrating APIs into real systems - connecting tools, automating a workflow, or building a small internal tool.
Familiarity with at least some common enterprise tools - Google Workspace, Atlassian, Salesforce, HubSpot, Zendesk, Slack, Xero - and willingness to learn the rest.
1-3 years of professional experience, ideally with some exposure to cross-functional or client-facing work.
Clear communicator - comfortable asking questions of non-technical stakeholders to understand what they actually need.

Benefits

Comp & perks

22 days annual leave
+2 days milestone leave after 3 years
10 days paid sick leave
Generous paid parental leave (primary and secondary carers)
Health (VHI) and Dental Insurance (DeCare Dental)
Matched pension contributions
Career support
Access to annual learning and development fund
Uprise Employment Assistance Program
Flexible work practices
Bike to Work & Tax Saver Commuter Scheme
Modern, city center office with onsite wellness classes, bike storage and shower facilities with towels.