Graduate AI Engineer

Fruition Group Ireland; Dublin; On-site; EUR 45,000 - 65,000; Full time

Job summary

Fruition Group Ireland is seeking a Junior AI Engineer to join a growing technology and automation function in Dublin, supporting AI-enabled applications and intelligent workflows. You will design, develop and test AI-powered tools, build APIs, and collaborate with teams across Microsoft technologies and cloud platforms.

You will gain hands-on experience with Python and Rust, TypeScript, Node.js, and REST APIs, while learning secure software practices, CI/CD and documentation.

Qualifications

• Third-level degree or equivalent in Computer Science, Software Engineering, Data Science, Artificial Intelligence or related field.
• Strong portfolio of technical work may be considered in lieu of formal degree.

Responsibilities

• Design, develop, test and support internal AI-powered tools and workflows.
• Build and maintain APIs and integrations for AI models with enterprise apps and data sources.
• Develop production-quality Python and Rust solutions; JS/TS exposure where appropriate.
• Support AI agent workflows including prompting, tool use and orchestration.
• Work with Microsoft technologies (Power Platform, Dataverse, SharePoint Online, Graph).
• Use Git and GitHub for version control, CI/CD and collaboration.
• Produce architecture notes, support docs and operational procedures.
• Engage with stakeholders to refine applications based on user feedback.

Skills

Python

Rust

TypeScript

Node.js

AI engineering

REST APIs

Git

Cloud basics

communication

Education

Bachelor's or equivalent in CS/SE/Data Science/AI

Tools

GitHub

Azure

Power Platform

SharePoint Online

Dataverse

Docker

Job description

My client, a professional services organisation, is seeking a Junior AI Engineer to join a growing technology and automation function, supporting the development of AI-enabled applications, integrations and intelligent workflow solutions.

Job Responsibilities

• Design, develop, test and support internal AI-powered tools and workflow automations that improve business processes and reduce manual activity.
• Build and maintain APIs and integrations that enable AI models to interact securely with enterprise applications, data sources and business systems.
• Develop production-quality solutions using technologies such as Python and Rust, with exposure to TypeScript and Node.js where appropriate.
• Support the development of AI agent workflows, including prompt design, tool use, orchestration, evaluation and appropriate technical safeguards.
• Work with Microsoft technologies including Microsoft 365, SharePoint, Power Platform, Dataverse and Microsoft Graph to develop integrated automation solutions.
• Use Git and GitHub for source control, branching, pull requests, code reviews, CI/CD processes and general development collaboration.
• Produce clear technical documentation, including architecture notes, support documentation, implementation guidance and operational procedures.
• Engage with technical and non-technical stakeholders to understand requirements, demonstrate solutions and refine applications based on user feedback.

Experience Required

• 1-3 years’ professional experience in software engineering, AI engineering, automation or a related technical area, with strong graduate, academic, personal or open-source projects also considered.
• Practical experience developing solutions using generative AI models and associated APIs rather than solely using consumer chat interfaces.
• Good understanding of AI concepts including prompting, context management, function or tool calling and the limitations of large language models.
• Working knowledge of Rust, ideally demonstrated through an academic, personal or open-source project, together with an understanding of concepts such as ownership, error handling and dependency management.
• Strong Python fundamentals and familiarity with modern Python project, environment and dependency management tools.
• Experience building or consuming REST APIs, including working with JSON, authentication mechanisms, error handling and API documentation.
• Good understanding of core software engineering practices including testing, debugging, maintainable code and version control.
• Strong communication skills, with the ability to explain technical concepts clearly to colleagues from non-technical backgrounds.
• Exposure to Model Context Protocol (MCP), AI agents or frameworks supporting multi-step tool use and workflow orchestration.
• Knowledge of Microsoft technologies such as Power Automate, Power Apps, Power BI, Dataverse, SharePoint Online, Microsoft Graph or Microsoft Copilot.
• TypeScript and Node.js development experience.
• Understanding of SQL, document processing, vector databases, semantic search or Retrieval-Augmented Generation (RAG).
• Exposure to Azure services such as Functions, App Service, Key Vault or Storage.
• Familiarity with Docker, cloud deployment practices and CI/CD pipelines.
• Experience evaluating AI applications, including logging, tracing, output quality measurement, reliability and cost monitoring.
• Awareness of data protection, confidentiality, responsible AI and regulatory considerations when developing AI-enabled systems.
• Understanding of secure software development practices including secrets management, least-privilege access, prompt-injection risks and prevention of unintended data exposure.
• Experience with workflow automation or low-code platforms would be beneficial.

Educational Requirements

• Third-level degree or equivalent qualification in Computer Science, Software Engineering, Data Science, Artificial Intelligence or another related discipline.
• Candidates with a strong demonstrable portfolio of equivalent technical work may also be considered.
• Permanent position with standard Monday-to-Friday working hours.
• Opportunity to join a developing AI and automation capability at an early stage.
• Broad exposure to AI engineering, software development, APIs, cloud technologies and enterprise automation.
• Opportunity to work directly with experienced technology leadership and contribute to engineering standards and ways of working.
• Continued professional development in a rapidly evolving area of technology.
• Exposure to a range of modern AI models, platforms and development tools.