Senior ML Engineer: Build Production-Ready GenAI Systems

Cpl; Galway; On-site; EUR 120,000 - 180,000; Full time

Job summary

CPL is seeking a Senior Machine Learning Engineer in Ireland’s Galway region to blend ML/GenAI into scalable, production-grade apps. You’ll own end-to-end systems from frontend to backend and ML services, partnering with researchers, data scientists, and platform teams to ship robust, enterprise-grade solutions.

With 10+ years in software, you will design RAG pipelines, deploy vector search, and drive cloud-native engineering across AWS, React-based frontends, and Python backends.

Qualifications

• Bachelor’s or Master’s in Computer Science, Engineering, or related technical field.
• 10+ years of professional software engineering experience (full stack, distributed systems, APIs, cloud).
• 4–6 years working with machine learning or GenAI systems in production environments.
• Experience designing and deploying RAG pipelines with embeddings and vector search.
• Hands-on with vector databases: FAISS, Pinecone, Weaviate, Milvus, etc.
• Experience with agentic frameworks such as LangChain, CrewAI, LangGraph, AutoGen.
• Strong expertise in cloud-native engineering (AWS preferred).
• Proficient in modern front-end frameworks (React/Next.js, Angular, or similar) and in building robust web applications.
• Back-end development using Python (advanced) and one or more of: Node.js, Java, C#, or Go.
• Familiarity with traditional ML models, their applications, and how to integrate them into products.
• Cloud Platforms: AWS services such as S3, Lambda, ECS/EKS, SageMaker, API Gateway.
• Databases: Experience with relational systems (Oracle), cloud data warehouses (Snowflake), vector DBs, and knowledge graphs (Neo4j, RDF/SPARQL).
• DevOps: CI/CD pipelines, Docker, Kubernetes, GitHub Actions, infrastructure-as-code.
• Understanding of Responsible AI, data privacy, and ethical considerations in ML-driven systems.
• Good to have: Experience with model monitoring, evaluation frameworks, and automated alerting.
• Ability to communicate architectural decisions and technical concepts to non-technical partners.

Responsibilities

• End-to-end engineering: You build full-stack applications that integrate ML/GenAI services seamlessly.
• Productizing ML: Convert research notebooks and prototypes into production APIs, scalable microservices, or front‑end experiences.
• System design & architecture: Comfortable with distributed systems, containerization, scaling, observability, and resilience.
• ML/GenAI literacy: Understand how to select the right model type and integrate into a business workflow.
• Agentic workflows: Experience deploying multi‑agent systems and monitoring their behavior in production.
• Observability engineering: Hands‑on with Prometheus, Grafana, OpenTelemetry, and logging/metrics pipelines.
• Engineering rigor: CI/CD, testing, version control, tracing, blue/green deployments, and secure coding practices.
• Research & evaluation: Evaluate new frameworks, GenAI tools, and emerging technologies for practical adoption.
• Collaboration: Strong teamwork, mentorship, and communication, enabling strong cross‑functional delivery.

Skills

End-to-end engineering

Productizing ML

System design & architecture

ML/GenAI literacy

Agentic workflows

Observability engineering

Engineering rigor

Research & evaluation

Collaboration

Education

Bachelor’s or Master’s in CS/Engineering

Tools

FAISS

Pinecone

Weaviate

Milvus

LangChain

CrewAI

LangGraph

AutoGen

AWS

React/Next.js/Angular

Python

Node.js

Java

C#

Go

Neo4j

RDF/SPARQL

Snowflake

Job description

CPL is seeking a Senior Machine Learning Engineer in Ireland’s Galway region to blend ML/GenAI into scalable, production-grade apps. You’ll own end-to-end systems from frontend to backend and ML services, partnering with researchers, data scientists, and platform teams to ship robust, enterprise-grade solutions.

With 10+ years in software, you will design RAG pipelines, deploy vector search, and drive cloud-native engineering across AWS, React-based frontends, and Python backends.