Graduate AI Engineer

Fruition Group Ireland; Dublin; On-site; EUR 42,000 - 62,000; Full time

Job summary

Fruition Group Ireland 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.

You will design, build and maintain AI-powered tools and APIs, collaborate with stakeholders and contribute to governance, security, and documentation as part of a fast-moving team.

Qualifications

• Third-level degree or equivalent qualification in computer-related fields.
• Strong portfolio of technical work may be considered in lieu of formal degree.
• Permanent position with standard Monday-to-Friday hours.
• Opportunity to join an expanding AI and automation capability early.

Responsibilities

• Design, develop, test and support internal AI-powered tools and workflows.
• Build and maintain APIs and integrations for AI models to enterprise apps.
• Develop production-quality solutions using Python and Rust with TypeScript/Node.js exposure.
• Support AI agent workflows including prompts, tool use and orchestration.
• Work with Microsoft technologies to develop integrated automation solutions.
• Use Git and GitHub for source control, reviews, CI/CD and collaboration.
• Produce clear technical documentation including architecture notes and procedures.
• Engage with stakeholders to refine applications based on user feedback.

Skills

Python

Rust basics

TypeScript

Node.js

REST APIs

Testing

Version control

CI/CD

Azure

Security best practices

Education

Bachelors in Computer Science

Software Engineering

Data Science

Artificial Intelligence

Tools

Docker

Git

GitHub

Power Automate

Power Apps

Power BI

Dataverse

SharePoint Online

Microsoft Graph

Microsoft Copilot

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.