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Jobs / AI Engineer in Ireland
13 days ago
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MM
Morgan McKinley·13 days ago
13 days ago

AI Engineer

Dublin, IrelandFull-timeHybridSenior · 5+ yearsAI Engineer

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Top 10%Top 10%: 62 out of 100

Top 10% of NextRaise users, across all roles in this function in Ireland.

Must-have skills for this role

  • python
  • generative ai
  • llms
  • rag

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What you'll do

  • Design, build, and maintain production-grade full-stack web applications that integrate AI and Large Language Model (LLM) capabilities.
  • Develop robust backend APIs, services, and asynchronous workflows using Python and modern backend frameworks.
  • Craft responsive, intuitive, and high-performance front-end interfaces using Angular, React, or modern JavaScript frameworks.
  • Take ideas from initial user concept and rapid prototyping through iterative validation to production deployment.
  • Embed modern AI patterns-including Retrieval-Augmented Generation (RAG), vector search/embeddings, prompt engineering, and agentic workflows-into front-office applications.
  • Use AI development tools and assistants extensively to design, generate, test, debug, and accelerate delivery.
  • Evaluate emerging AI technologies and multi-model strategies to determine the best approach for specific business problems.
  • Apply sound engineering judgment to review, validate, and optimize AI-generated code and system architectures.
  • Architect solutions that are secure, scalable, maintainable, and aligned with enterprise security policies and regulatory requirements.
  • Implement modern DevOps practices, including CI/CD automation, containerization, test automation, and system observability.
  • Partner directly with business stakeholders, product leads, and cross-functional technology teams to translate complex requirements into working software.
  • Communicate ideas clearly, constructively challenge assumptions, and use continuous user feedback to drive practical outcomes.

What they're looking for

  • Full-Stack Engineering: 5+ years of software development experience across both front-end (Angular, React, or TypeScript) and back-end (Python, REST/GraphQL APIs, Microservices).
  • AI & LLM Integration: Hands-on experience building applications powered by Generative AI, LLMs, RAG architectures, vector databases, and AI agent frameworks.
  • Modern AI Tooling: Practical experience using AI-assisted engineering tools (e.g., GitHub Copilot, Claude Code, Cursor, or similar).
  • Cloud & Infrastructure: Hands-on experience with cloud platforms (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and modern CI/CD pipelines.
  • Database & Data Layer: Proficiency with relational databases, document stores, and vector databases.
  • Product-Minded Builder: Passionate about taking ambiguous business requirements and turning them into polished, user-friendly applications.
  • Pragmatic Innovator: Comfortable experimenting rapidly, gathering feedback, and knowing when to pivot, refine, or productionize an approach.
  • Strong Communicator: Ability to engage directly with non-technical business stakeholders as well as senior architecture teams.
  • Visa: Must hold Stamp 4 or EU Citizen for this role and be located in Ireland.

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

Location: Dublin, Ireland (Hybrid)

Level: Senior / Lead (L6)

Employment Type: Permanent

Visa Must hold Stamp 4 or EU Citizen for this role and be located in Ireland

ABOUT THE ROLE

We are seeking a hands-on Senior Full-Stack AI Engineer (L6) to join our growing platform engineering team in Dublin.

In this role, you will take ownership of building end-to-end, AI-enabled software solutions directly for end-users. You will bridge complex backend systems, cloud infrastructure, generative AI capabilities, and modern web interfaces to transform business requirements into secure, high-performing applications.

Operating with a high degree of autonomy, you will combine strong software engineering fundamentals (Python, React/Angular, Cloud) with practical AI implementation (LLMs, RAG, tool integration) to rapidly prototype, build, and deploy production-grade software.

KEY RESPONSIBILITIES

End-to-End Application Delivery

  • Design, build, and maintain production-grade full-stack web applications that integrate AI and Large Language Model (LLM) capabilities.
  • Develop robust backend APIs, services, and asynchronous workflows using Python and modern backend frameworks.
  • Craft responsive, intuitive, and high-performance front-end interfaces using Angular, React, or modern JavaScript frameworks.
  • Take ideas from initial user concept and rapid prototyping through iterative validation to production deployment.

AI Integration & Architecture

  • Embed modern AI patterns-including Retrieval-Augmented Generation (RAG), vector search/embeddings, prompt engineering, and agentic workflows-into front-office applications.
  • Use AI development tools and assistants extensively to design, generate, test, debug, and accelerate delivery.
  • Evaluate emerging AI technologies and multi-model strategies to determine the best approach for specific business problems.

Software Engineering & Quality

  • Apply sound engineering judgment to review, validate, and optimize AI-generated code and system architectures.
  • Architect solutions that are secure, scalable, maintainable, and aligned with enterprise security policies and regulatory requirements.
  • Implement modern DevOps practices, including CI/CD automation, containerization, test automation, and system observability.

Stakeholder Collaboration

  • Partner directly with business stakeholders, product leads, and cross-functional technology teams to translate complex requirements into working software.
  • Communicate ideas clearly, constructively challenge assumptions, and use continuous user feedback to drive practical outcomes.

KEY REQUIREMENTS

Essential Technical Experience

  • Full-Stack Engineering: 5+ years of software development experience across both front-end (Angular, React, or TypeScript) and back-end (Python, REST/GraphQL APIs, Microservices).
  • AI & LLM Integration: Hands-on experience building applications powered by Generative AI, LLMs, RAG architectures, vector databases, and AI agent frameworks.
  • Modern AI Tooling: Practical experience using AI-assisted engineering tools (e.g., GitHub Copilot, Claude Code, Cursor, or similar).
  • Cloud & Infrastructure: Hands-on experience with cloud platforms (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and modern CI/CD pipelines.
  • Database & Data Layer: Proficiency with relational databases, document stores, and vector databases.

Leadership & Personal Attributes

  • Product-Minded Builder: Passionate about taking ambiguous business requirements and turning them into polished, user-friendly applications.
  • Pragmatic Innovator: Comfortable experimenting rapidly, gathering feedback, and knowing when to pivot, refine, or productionize an approach.
  • Strong Communicator: Ability to engage directly with non-technical business stakeholders as well as senior architecture teams.

WHAT WE OFFER

  • Competitive base salary
  • Comprehensive pension scheme and private healthcare coverage.
  • Flexible hybrid working policy (3 days/week in office).

Company

MM
Morgan McKinley
Dublin, Ireland

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Morgan McKinley's careers site·first seen 22 Sept 2026·last verified 22 Sept 2026·How we source jobs

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