Senior AI Engineer

Morgan McKinley; Ireland; Hybrid; EUR 60,000 - 80,000; Full time

Job summary

Morgan McKinley in Dublin invites a Senior AI Engineer to join our Dublin-based Innovation Pod. In this role you will design, deploy, and maintain end-to-end production AI systems and ML models that solve financial and operational challenges.

You will work with engineering leadership to take autonomous AI agents from concept to live production in cloud environments, delivering impact across multi-million euro scale scenarios.

Qualifications

• Production Python: high proficiency in core Python, async programming, and API microservices.
• AWS Cloud Engineering: hands-on production services on AWS.
• Production AI/ML: live machine learning models and modern GenAI applications.
• End-to-end System Design: architect low-latency AI pipelines with reliable state/persistence.
• Senior-Level Impact: proven track record delivering complex projects to deployment with business impact.

Responsibilities

• Design, deploy, and maintain end-to-end production AI systems and ML models.
• Collaborate with engineering leadership to take autonomous AI agents to production.
• Architect low-latency AI pipelines, manage state/persistence, and ensure reliability.
• Support deployment and ongoing operation of AI solutions in cloud environments.

Skills

Production Python

AWS Cloud Engineering

Production AI/ML

End-to-end System Design

Senior-Level Impact

Tools

LangChain

Strands

AWS Agent Core

Retrieval-Augmented Generation

GitHub Copilot

Job description

Job Description

This is a Hybrid , Permanent Role in Dublin City Centre. Candidates must be in Ireland with full working rights.

Senior AI Engineer - Innovation Team. Location: Dublin, Ireland (Hybrid). Salary: €60,000 - €80,000 DOE + Package.

About the Role

We are looking for a Senior AI Engineer to join our Dublin-based Innovation Pod. In this role, you won't just build thin API wrappers—you will design, deploy, and maintain end-to-end production AI systems and machine learning models that solve complex financial and operational challenges. You will collaborate directly with engineering leadership to take autonomous AI agents and predictive ML systems from concept to live production cloud environments.

Example Impact Projects

• Procedural Generation Agents: Building multi-step autonomous LLM agents that parse complex workflows and generate operational procedures automatically.
• Predictive Financial ML: Designing and training production ML models to forecast multi-million euro cash flow balances and liquidity events.

What We Are Looking For - Must-Have Skills

• Production Python: High proficiency in core Python, async programming, and API microservices architecture.
• AWS Cloud Engineering: Hands-on experience deploying, hosting, and maintaining production services on AWS.
• Production AI/ML: Demonstrated experience delivering live machine learning models and modern GenAI applications to users.
• End-to-end System Design: Ability to architect low-latency AI pipelines, manage state/persistence, and maintain operational reliability.
• Senior-Level Impact: Proven track record of taking complex software/ML projects from zero to deployment with measurable business impact.

Nice-to-Have Skills

• Agentic Frameworks: Hands-on experience with frameworks like LangChain, Strands, or AWS Agent Core.
• RAG Systems: Practical experience building and optimizing Retrieval-Augmented Generation architectures and vector search.
• Financial Domain Knowledge: Background building predictive models or data platforms within Fintech, Banking, or Financial Services.
• Modern Developer Tooling: Proficiency with AI-assisted workflow tools (Cursor, GitHub Copilot) and a habit of reading/applying recent research papers.
• Personal Projects: Active GitHub repos or personal projects demonstrating technical curiosity in the GenAI/ML space.

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