Senior Machine Learning Engineer – GenAI & Full Stack

Location: Galway – Hybrid
Rate: Up to €500 per day
Contract: Initial 12-month contract

We are looking for an experienced Senior Machine Learning Engineer to build scalable, production-ready applications integrating Machine Learning and Generative AI. You will combine strong software engineering and full-stack development skills with hands-on ML/GenAI expertise, turning prototypes, RAG pipelines and agentic workflows into reliable enterprise applications.

Key Responsibilities
  • Develop full-stack applications integrating ML and GenAI capabilities.
  • Build and deploy RAG pipelines, embeddings and vector search solutions.
  • Design scalable APIs, microservices and cloud-native applications.
  • Implement agentic workflows using frameworks such as LangChain, LangGraph or CrewAI.
  • Develop and deploy solutions using AWS and modern DevOps practices.
  • Ensure applications are secure, reliable, scalable and production-ready.
  • Implement automated testing, CI/CD, monitoring and observability.
  • Evaluate emerging AI technologies and identify opportunities for business adoption.

Essential Skills & Experience
  • 10+ years of software engineering experience.
  • 4–6 years delivering ML or GenAI solutions in production.
  • Advanced Python skills and experience with Java, Node.js, C# or Go.
  • Full-stack development experience with React, Next.js, Angular or similar.
  • Hands-on experience with RAG pipelines, embeddings and vector databases such as Pinecone, FAISS or Weaviate.
  • Experience with agentic frameworks such as LangChain, LangGraph, CrewAI or AutoGen.
  • Strong knowledge of AWS, Docker, Kubernetes, CI/CD and distributed systems.
  • Understanding of Responsible AI, data privacy and secure development.
  • Strong communication and problem-solving skills.

Desirable:
Experience with model evaluation, monitoring and observability tools such as Prometheus, Grafana and OpenTelemetry.
The Ideal Candidate - A hands-on engineer who can bridge software engineering and AI, transforming innovative ML/GenAI concepts into secure, scalable and production-ready business applications.