7 of 7 LangChain Jobs in Northern Ireland

real-world impact highly desirable.Expert-level proficiency in Python, and modern AI/ML frameworks, including PyTorch, TensorFlow, and specialised Generative AI libraries (LangChain, LangGraph or related open-source toolkits strongly preferred. Background in Traditional ML/AI is preferred.Deep understanding of LLMs, prompt engineering, RAG pipelines, vector databases ...

Llama), and selecting the right model for use case, cost, and performance constraintsHands‐on experience building Gen AI applications using modern frameworks such as LangChain, LangGraph, LlamaIndex, and Hugging Face, including agentic and multi‐step workflowsProven experience designing and implementing Retrieval‐Augmented Generation (RAG) systems, including vector databases (pgvector, Pinecone ...

hands-on with emerging technologies – exploring what works, what scales, and what’s next:Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic.Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs.Developing and testing agentic architectures through ...

/Azure/GCP); emerging LLM architectures.GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Prompt Engineering: Deep prompt engineering & optimization skills for GenAI.Vector DBs & RAG: Designed solutions using vector DBs & Retrieval ...

Language Models (LLMs) and transformer‐based systemsPrompt engineering and basic agent workflowsVector search and retrieval conceptsFamiliarity with Gen‐AI frameworks/tools such as LangChain, LangGraph, MLflow, or workflow orchestration tools (e.g., n8n) (hands‐on experience preferred, but deep ML expertise not mandatory)Experience integrating Gen‐AI APIs (OpenAI, Gemini ...

building data pipelines and working with structured and unstructured data.Familiarity with Generative AI and/or machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch, Langchain) is desirable.Experience with cloud data platforms, data warehouses, or big data technologies is an advantage.Strong analytical and problem-solving skills, with attention to detail.Ability ...

building data pipelines and working with structured and unstructured data.Familiarity with Generative AI and/or machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch, Langchain) is desirable. Experience with cloud data platforms, data warehouses, or big data technologies is an advantage. Strong analytical and problem-solving skills, with attention ...