Senior ML Engineer - Full-Stack GenAI (Galway, Hybrid)

Cpl Group; Galway; Hybrid; EUR 101,000 - 111,000; Full time

Job summary

Cpl Group in Galway, Ireland is seeking a Senior Machine Learning Engineer with end-to-end software engineering skills to join our hybrid team. You will integrate ML and GenAI capabilities into production-grade applications, spanning front-end, back-end, APIs, and ML-powered services.

The role requires 10+ years of software experience, 4–6 years in ML/GenAI production, and strong Cloud (AWS) and CI/CD expertise.

Qualifications

• 10+ years of professional software engineering experience (full-stack, distributed systems, APIs, cloud).
• 4–6 years of production ML/GenAI experience.
• Hands‑on experience designing and deploying RAG pipelines, embeddings, vector search, and agentic frameworks.
• Proficiency with AWS (S3, Lambda, ECS/EKS, SageMaker, API Gateway).

Responsibilities

• Build end-to-end full‑stack applications that integrate ML/GenAI services.
• Collaborate with ML researchers, data scientists, and platform teams to productionize prototypes and pipelines.
• Design and maintain scalable, enterprise-grade systems with robust APIs and UIs.
• Implement CI/CD, Docker, Kubernetes, and IaC for reliable deployments.
• Focus on Responsible AI, data privacy and ethics.

Skills

End-to-End Engineering

Productising ML

System Design

Observability Engineering

Collaboration

Education

Bachelor’s or Master’s in CS/Engineering

Tools

LangChain

CrewAI

LangGraph

AutoGen

FAISS

Pinecone

Weaviate

Milvus

AWS (S3, Lambda, ECS/EKS, SageMaker, API Gateway)

React/Next.js

Angular

Node.js

Java

Go

Oracle

Snowflake

Neo4j

RDF/SPARQL

Docker

Kubernetes

GitHub Actions

IaC

Job description

Cpl Group in Galway, Ireland is seeking a Senior Machine Learning Engineer with end-to-end software engineering skills to join our hybrid team. You will integrate ML and GenAI capabilities into production-grade applications, spanning front-end, back-end, APIs, and ML-powered services.

The role requires 10+ years of software experience, 4–6 years in ML/GenAI production, and strong Cloud (AWS) and CI/CD expertise.