Senior Machine Learning Engineer

About

Scorebuddy is a leading Quality Management SaaS platform for contact centres, combiningcoaching, learning and advanced AI Analytics to help customers improve operationalefficiency and enhance customer experiences. We serve a global customer base, fromteams of 20 to 20,000 users.

We are seeking a Senior AI Solutions Engineer with deep expertise in Large LanguageModels (LLMs) and applied machine learning to join our innovative AI team. Reporting to theDirectors of Engineering and the CTO, you will play a key role in developing production-ready AI systems that transform how contact centres assess, coach and improveperformance.

This is a high-impact role, blending technical innovation, system design and real-worldimplementation of cutting-edge AI techniques. You'll help shape our AI roadmap, workingcross-functionally to deliver intelligent customer-centric features.

What you'll do:

- LLM Feature Engineering - Design and implement LLM-powered features such as conversation analysis, performance scoring, automated coaching and multilingual support.
- Research to Production- Translate research and emerging techniques into scalable, secure and maintainable solutions incorporating components such as RAG (Retrieval-Augmented Generation), agentic frameworks and speech transcription.
- Architecture & Integration- Design and integrate scalable AI systems into our platform, optimising for cost, performance and maintainability.
- Innovation & Prototyping- Evaluate new and emerging LLM technologies (e.g. MCP, A2A, LangGraph), conduct proof-of-concepts and inform our product strategy.
- Quality Assurance for AI - Define testing methodologies and performance metrics for AI outputs to ensure reliability, accuracy and fairness.
- Cross-functional Collaboration - Partner with Product, UX and Engineering teams to deliver seamless and intuitive AI-powered user experiences.
- MLOps- Deploy and monitor AI models using best practices for model versioning, observability and continuous improvement.
- Mentorship & Communication- Support junior engineers and clearly articulate complex AI concepts to both technical and non-technical stakeholders.

What are we looking for:

- 7+ years in software engineering, including 3+ years working on AI/ML projects
- Proven experience developing and deploying LLM-powered applications in production
- Deep understanding of modern NLP techniques (e.g. transformers, embeddings, prompt engineering)
- Hands-on experience with foundation models and generative AI platforms (e.g. OpenAI, Anthropic, open-source models)
- Experience building RAG systems with vector databases (e.g. pgvector, Pinecone, OpenSearch)
- Proficiency in Python and familiarity with ML frameworks such as PyTorch or TensorFlow
- Exposure to AI orchestration frameworks such as LangChain, LangGraph and others
- Experience with microservices architectures and API development, experience with Golang is desirable
- Experience with relational (MySQL, PostgreSQL) and NoSQL (MongoDB) databases
- Experience with cloud platforms, particularly AWS AI services (Bedrock, SageMaker) and/or Azure OpenAI Service
- Understanding of MLOps practices (deployment, monitoring, model lifecycle)
- Familiarity with ethical AI development, fairness and bias mitigation
- Experience working in an Agile development environment
- Excellence in stakeholder management and technical communication

Education

- BSc/MSc in Computer Science, Artificial Intelligence, Machine Learning or a related technical discipline

What we offer

- Competitive salary and performance-based bonus
- 25 paid holidays annually
- Subsidised gym membership
- Webdoctor online GP service access
- Taxsaver tickets & Cycle to Work schemes
- Enhanced maternity, paternity and sick leave pay
- Access to Irish Life PRSA, salary sacrifice

Work Location

Iconic Offices - The Masonry, 151 Thomas Street, Dublin 8

We support hybrid working, with about two days per week in the office.

No recruitment agency assistance required

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