6 of 6 Retrieval-Augmented Generation Jobs in Northern Ireland

TensorFlow, Transformers, LangChain) Mastery of prompt engineering and fine-tuning Large Language Models Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of More ❯

TensorFlow, Transformers, LangChain) Mastery of prompt engineering and fine-tuning Large Language Models Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of More ❯

for someone who wants to be part of a founding team. The Role: Develop and deploy LLM-based solutions tailored to specific business needs (e.g., chatbots, summarization, content generation, semantic search) Fine-tune and customize pre-trained LLMs for targeted applications Conduct prompt engineering, few-shot learning, and to optimise model performance Build pipelines for scalable model training … hands-on experience with LLMs Proficiency with LLM frameworks such as Hugging Face Transformers, OpenAI API, LangChain, or similar Experience fine-tuning large transformer models or implementing retrieval-augmented generation systems Strong Python programming skills and familiarity with ML libraries (e.g., PyTorch, TensorFlow) Knowledge of prompt engineering best practices and prompt optimization Understanding of More ❯

trends and technologies in the field. You'll ideally have the following skills and experience: Expertise in prompt engineering and fine-tuning large language models Experience with retrieval-augmented generation Strong background in dataset creation, model training, and development; broader ML knowledge (e.g. network design and optimisation) is a bonus Strong python skills Experience More ❯

intelligence operations Design and architect multi-agent systems that can perform complex OSINT investigations autonomously Build agentic workflows using frameworks like LangChain, AutoGPT, CrewAI, n8n, or custom solutions Architect RAG systems that enable agents to access and reason over vast intelligence databases Design agent orchestration systems that coordinate multiple AI agents for complex investigative tasks Implement human-in-the-loop … and agent communication protocols Proficiency in advanced prompt engineering and chain-of-thought reasoning techniques Experience with function calling, tool use, and plugin architectures for LLMs Deep understanding of RAG architectures, vector databases, and semantic search Expert in Python and modern AI/ML frameworks Understanding of OSINT methodologies and intelligence analysis workflows Experience translating complex human workflows into automated More ❯

trajectory forecasted for 2025. Our platform is already trusted by nearly half of the top 50 financial institutions globally. The Technology At the core of our platform is a RAG-based architecture, purpose-built for finance. It’s designed to replicate the kind of deep reasoning you see in leading models like OpenAI’s o1—capable of parsing nuanced questions … frameworks (Python, React, TypeScript, etc.) and can build production-ready systems end-to-end Are excited by AI-native product design and have experience working with or around LLMs, RAG, or agent-like architectures Love talking to users and solving real business problems—not just coding in a vacuum Bring an entrepreneurial mindset, with an eye toward growing into a More ❯