Senior AI Engineer

Job Description

Description: We are looking for a Senior AI Engineer to join our Belfast-based Data & AI Platform Team in building a next-generation data platform which will leverage aPriori’s proprietary data to deliver powerful insights and AI capabilities. As a Senior AI Engineer, you will play a critical role in shaping and delivering AI-powered features within aPriori’s Data Platform, delivered via APIs and our product surfaces. You will design and implement production-grade solutions that leverage both generative AI with LLMs and traditional AI/ML. Working closely with Product Management and product teams, you will integrate AI capabilities into our products, enabling AI-powered insights, automation, and new user experiences that increase aPriori’s value to our customers. This role is hands-on and highly collaborative: you will design and implement LLM-driven features, leverage and extend a modern data pipeline, and contribute to building scalable AI infrastructure using cloud-based AI/ML services such as AWS Bedrock/Sagemaker, GCP Vertex AI, TensorFlow, PyTorch. Location: Belfast, NI (Hybrid) or Remote UK

Design and build production-ready AI/ML systems, with an emphasis on Standard Model LLM-powered product and platform features. Leverage LLM tooling/APIs such as LangChain and MCP connectors to implement retrieval-augmented generation (RAG), copilot-assistants and agentic workflows. Partner with Product Management and product teams to translate

into AI-powered capabilities that surface directly in user-facing products. Apply MLOps and LLMOps best practices: monitoring, evaluation, prompt versioning, cost/performance optimization. Combine traditional AI/ML with modern GenAI approaches to deliver hybrid solutions where appropriate. Collaborate with Data Engineers to establish a scalable data pipeline that serves structured data shaped for LLM consumption, feature store data for traditional AI, and Trad/GenAI-enhanced insights for internal and customer-facing BI use cases. Mentor and upskill peers in on core AI/ML and LLMOps practices, raising the overall AI/ML competency of the team. Stay current with developments in GenAI, LLMOps, generative AI safety frameworks, and evaluate their potential for adoption within the platform.