Senior Machine Learning Engineer

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.