AI Software Engineer

About Scorebuddy

Scorebuddy is a leading Quality Management SaaS platform for Contact Centres. By combining quality management, coaching and learning with advanced AI Analytics, we help hundreds of customers worldwide to be operationally efficient, scale their contact centres, improve agent performance, and enhance overall customer experience.

We are a globally successful SaaS company, serving a diverse international customer base with teams ranging in size from 20 to 20,000 end users.

Overview

We’re looking for an experienced AI Software Engineer to join our team and help us build the next generation of AI-powered features inside the Scorebuddy platform. You will sit within our AI squad, working alongside engineers who are already shipping production ML and LLM features used by contact centre quality teams around the world.

You will partner closely with product managers, fellow engineers and, in time, the data scientists we plan to bring on board, to shape how AI is applied to real customer conversations. Our stack runs on AWS with Python services driving our NLP and LLM workloads, Go microservices handling high-throughput data ingestion, and we are actively investing in the Hugging Face ecosystem, modern LLM frameworks and retrieval-augmented generation architectures.

This role offers a genuine opportunity to influence how Scorebuddy scales its AI capability over the next phase of growth, from improving the quality and reliability of our production scoring pipelines to introducing new AI-driven features that our customers rely on every day. You will be trusted to make sound technical decisions, ship reliable software and help raise the bar for engineering practice across the team.

What You’ll Do

• Build, integrate and fine-tune LLM pipelines for production use cases
• Develop and maintain NLP workflows including text classification, entity recognition, summarisation, embeddings and retrieval-augmented generation (RAG)
• Train, fine-tune and deploy Hugging Face Transformer models such as BERT, RoBERTa, DistilBERT and ELECTRA for downstream NLP tasks
• Collaborate with data scientists to productionise ML models and NLP experiments
• Write clean, well-tested and documented code with an emphasis on performance and reliability
• Participate in code reviews, system design discussions and on-call rotations
• Continuously evaluate and adopt emerging LLM frameworks and tooling such as LangChain, LlamaIndex and the OpenAI and Anthropic APIs
• Design and implement scalable backend services and APIs in Python

What We Are Looking For

• Three or more years of professional software engineering experience
• Strong proficiency in Python across scripting, data pipelines and ML integration
• Hands-on experience with NLP techniques and libraries such as spaCy, NLTK and Hugging Face Transformers
• Practical experience working with LLMs across prompt engineering, fine-tuning, RAG architectures or API integration
• Proven experience with the Hugging Face ecosystem, including model loading, tokenisation, fine-tuning BERT-family models such as BERT, RoBERTa, DistilBERT, ALBERT and ELECTRA, and publishing or consuming models from the Hugging Face Hub
• Solid experience deploying and operating workloads on AWS, covering compute, storage, messaging and managed AI/ML services
• Familiarity with containerisation and orchestration tools such as Docker and Kubernetes
• Strong understanding of distributed systems, data modelling and API design principles

Nice To Have

• Experience in Go, building microservices, REST or gRPC APIs and concurrent systems
• Experience with CI/CD pipelines and infrastructure as code such as Terraform or AWS CDK
• Experience with vector databases such as Pinecone, Weaviate, pgvector or ChromaDB
• Snowflake experience a key plus
• Familiarity with streaming data platforms such as Kafka or Kinesis
• Contributions to open-source NLP or LLM projects
• Experience with model evaluation, observability and LLMOps tooling
• Knowledge of ML frameworks such as PyTorch or TensorFlow
• Background in building developer tools or internal AI platforms

Education & Qualifications

• BSc or MSc in Computer Science, Software Engineering or a related technical discipline, or equivalent practical experience

What We Offer

• Competitive salary and performance-based bonus
• Hybrid working with modern offices located in Dublin city
• 25 paid holidays annually • Subsidised gym membership and free on-site gym
• 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