AI Engineer

Jobtailor; Ireland; On-site; EUR 90,000 - 130,000; Full time

Job summary

CR2 is seeking an experienced AI/ML engineer to identify high-value use cases, design and prototype AI PoCs, and translate learnings into actionable governance recommendations. The role emphasizes production-readiness, security and responsible AI principles, and collaboration with product and governance teams.

Responsibilities include building AI-enabled services, APIs and retrieval pipelines, while staying current with AI toolchains and cloud services.

Qualifications

• Honours Degree or Diploma in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Machine Learning or related discipline, or equivalent practical experience
• Strong software engineering background with experience designing, developing, testing and maintaining production-quality applications or services
• Practical experience building AI, machine learning, generative AI, automation or data-driven solutions in a commercial environment
• Strong programming capability, preferably in Python and/or Java
• Experience using multiple AI platforms, APIs, cloud AI services, vector search, retrieval augmented generation, prompt engineering, model evaluation and/or AI orchestration frameworks
• Good understanding of data preparation, data quality, data security, metadata, embeddings, search, classification, summarisation and information extraction techniques
• Ability to define measurable PoC success criteria and evaluate outcomes against business value, accuracy, quality, cost, performance and operational feasibility
• Understanding of secure software development practices, data protection, access control, auditability and responsible AI principles
• Experience working with APIs, JSON, SQL, Git, CI/CD tooling and modern development practices
• Ability to work effectively across technical and non-technical teams, translating business problems into practical AI solution designs
• Excellent communication skills
• High level of attention to detail, strong analytical ability and a practical, delivery-focused approach to solving problems.

Responsibilities

• Identify, shape and prioritise AI use cases with business value
• Design, build and iterate AI PoCs using modern AI and data techniques
• Assist Governance in assessing feasibility, value and risks of AI PoCs
• Develop AI prototypes that demonstrate practical value
• Translate PoC learnings into clear governance recommendations
• Design production-ready AI solutions and services
• Collaborate with architects and engineering teams to align PoC designs with architecture
• Document designs, assumptions, dependencies, risks and productionisation recommendations
• Monitor developments in AI tools, frameworks and cloud services
• Support knowledge sharing and enablement across teams

Skills

AI

Machine Learning

Generative AI

Automation

Data Engineering

Software Engineering

Programming

Data Quality

Data Security

Communication

Cross-functional Collaboration

Education

Honours Degree

Diploma in Computer Science

Diploma in Software Engineering

Diploma in Data Science

Diploma in Artificial Intelligence

Diploma in Machine Learning

Tools

AI Platforms

Cloud AI Services

APIs

JSON

SQL

Git

CI/CD Tooling

Job description

• Work with business and technology stakeholders to identify, shape and prioritise AI use cases with clear business value
• Design, build and iterate AI proof of concept solutions using modern AI, machine learning, generative AI, automation and data engineering techniques
• Assist the Governance team assess the feasibility, value, risks and limitations of AI PoCs
• Develop AI prototypes that demonstrate practical value
• Translate PoC learnings into clear recommendations for the Governance team
• Design solutions with production-readiness in mind
• Build AI-enabled services, APIs, workflows, prompts, retrieval pipelines
• Apply responsible AI practices
• Collaborate with architects and engineering teams to align PoC designs with CR2’s target architecture
• Work with Product Management, Business Analysts and Subject Matter Experts
• Document technical designs, assumptions, dependencies, evaluation results, risks and productionisation recommendations
• Monitor developments in AI tools, frameworks, models and cloud services
• Support knowledge sharing and enablement across teams

Requirements

• Honours Degree or Diploma in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Machine Learning or a related discipline, or equivalent practical experience
• Strong software engineering background with experience designing, developing, testing and maintaining production-quality applications or services
• Practical experience building AI, machine learning, generative AI, automation or data-driven solutions in a commercial environment
• Strong programming capability, preferably in Python and/or Java
• Experience using multiple AI platforms, APIs, cloud AI services, vector search, retrieval augmented generation, prompt engineering, model evaluation and/or AI orchestration frameworks
• Good understanding of data preparation, data quality, data security, metadata, embeddings, search, classification, summarisation and information extraction techniques
• Ability to define measurable PoC success criteria and evaluate outcomes against business value, accuracy, quality, cost, performance and operational feasibility
• Understanding of secure software development practices, data protection, access control, auditability and responsible AI principles
• Experience working with APIs, JSON, SQL, Git, CI/CD tooling and modern development practices
• Ability to work effectively across technical and non-technical teams, translating business problems into practical AI solution designs
• Excellent communication skills
• High level of attention to detail, strong analytical ability and a practical, delivery-focused approach to solving problems.

Core Competencies

Demonstrates expertise in designing and developing AI solutions, including machine learning and generative AI, while ensuring production-readiness and adherence to responsible AI practices. Capable of collaborating across teams to translate business needs into effective AI prototypes and solutions.

Highest-signal resume keywords

• AI Solution Design
• Machine Learning Development
• Python Programming
• API Development
• Data Preparation Techniques

ATS Optimization Keywords

Hard Skills

• AI
• Machine Learning
• Generative AI
• Automation
• Data Engineering
• Software Engineering
• Production-Quality Applications
• Programming
• Data Quality
• Data Security

Soft Skills

• Excellent Communication
• Analytical Ability
• Attention to Detail
• Problem Solving
• Collaboration

Certifications & Qualifications

• Honours Degree
• Diploma in Computer Science
• Diploma in Software Engineering
• Diploma in Data Science
• Diploma in Artificial Intelligence
• Diploma in Machine Learning

Industry Keywords

• Proof of Concept
• Production-Readiness
• Responsible AI
• Data Protection
• Access Control

Tools & Technologies

• AI Platforms
• Cloud AI Services
• APIs
• JSON
• SQL
• Git
• CI/CD Tooling