AI Engineer

CR2

AI Engineer focusing on developing high-value AI use cases for financial services. Collaborating across teams to ensure production readiness and measurable business outcomes.

Posted 7/5/2026full-timeDublin • 🇮🇪 IrelandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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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 DesignMachine Learning DevelopmentPython ProgrammingAPI DevelopmentData Preparation Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AIMachine LearningGenerative AIAutomationData EngineeringSoftware EngineeringProduction-Quality ApplicationsProgrammingData QualityData Security

Soft Skills

Excellent CommunicationAnalytical AbilityAttention to DetailProblem SolvingCollaboration

Tools & Technologies

AI PlatformsCloud AI ServicesAPIsJSONSQLGitCI/CD Tooling

Certifications & Qualifications

Honours DegreeDiploma in Computer ScienceDiploma in Software EngineeringDiploma in Data ScienceDiploma in Artificial IntelligenceDiploma in Machine Learning

Industry Keywords

Proof of ConceptProduction-ReadinessResponsible AIData ProtectionAccess Control

Tech Stack

Tools & technologies

CloudJavaPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

Hybrid Working Model requires to be on-site three days per week in Dublin Office
Collaboration with cross-functional teams
Opportunities for knowledge sharing and enablement across teams