⚡ New

AI Engineer

Morgan McKinley

DublinFull-timeMid LevelOn-site

Job Description

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‑Mindful 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).

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