18 of 18 LangChain Jobs in the North of England

experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks ...

equivalent technologies.Frontend DevelopmentExperience developing React applications using TypeScript.Familiarity with frameworks such as Next.js, Vite, or similar.Generative AI TechnologiesExperience with Generative AI frameworks such as LangChain, LangGraph, CrewAI, Vercel AI, or equivalent tools.Practical experience working with Large Language Models (LLMs), including platforms such as OpenAI, Anthropic, Mistral, Llama, or similar.Familiarity with ...

commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure, and RAG pipeline construction - LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) - Prompt engineering and systematic evaluation/guardrail tooling (hallucination detection, safety testing) - LLMOps/MLOps - model versioning, deployment ...

engineering, data, DevOps and business teams - Advise clients on AI platform capability and implementation strategy Tech environment: Python LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes & GPU infrastructure What you'll bring: - Experience designing ...

exposure, plus experience in Financial Services or another regulated industry, is essential. Tech skills include Python, SQL, LLM development (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, FastAPI, and AWS, Azure, GCP or Databricks. CI/CD, MLOps and LLMOps familiarity expected. Strong communication and stakeholder ...

MLflow. Building, optimising and evaluating Retrieval-Augmented Generation (RAG) solutions using prompt engineering and embedding models. Designing and deploying AI agents using frameworks including LangChain, LangGraph and AutoGen. Delivering production-ready GenAI applications for commercial teams within Trading & Supply. Building scalable AI workflows on Databricks using Mosaic AI, MLflow, Genie ...

stack is essential, not just RAG in isolation: Semantic search, vector/embedding infrastructure, and retrieval architecture design LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) LLM evaluation, guardrails, and red-teaming tooling (hallucination detection, safety/bias testing) LLMOps/MLOps: model versioning ...

Bring Strong Python development experience building production AI applications. Proven experience developing Agentic AI, LLM and RAG solutions. Experience with frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen or similar. Experience with Microsoft Azure, including Azure AI Foundry, Azure OpenAI Service and Azure AI Search. Understanding of LLM evaluation ...

environment. Required Experience : Software engineering with strong expertise in Python development. AI Knowledge : Familiarity with LLMs and Generative AI solutions, along with frameworks like LangChain or LangGraph. Technical Skills : Proficiency in API design and integration, SQL, data processing, Git, and CI/CD practises. Production Focus : A solid engineering mindset ...

/Software Engineer with applied AI exposure. Hands-on Python development experience delivering production-grade systems. Practical experience building agentic AI workflows (LangGraph/LangChain or similar frameworks). Exposure to Knowledge Graphs (Neo4j/RDF/graph-based enrichment or retrieval). Experience integrating LLM APIs (OpenAI or similar ...

using AI systems Experience integrating APIs, data sources and cloud platforms (AWS, Azure or GCP) Bonus experience: Experience with AI agent frameworks such as LangChain, LlamaIndex, AutoGen or similar Background in healthcare, life sciences or regulated environments Experience with AI safety, evaluation or model monitoring Familiarity with distributed systems ...

including Graph-RAG and structured knowledge representation, where they deliver clear value. Required Skills & Experience Strong Python skills, with hands-on experience in LlamaIndex, LangChain, and LangGraph. Proven track record building RAG systems; Graph-RAG a distinct advantage. Hands-on fine-tuning, instruction tuning, and knowledge distillation, not just prompt ...

working with both structured and unstructured data Knowledge of AI, machine learning or generative AI technologies Exposure to frameworks such as TensorFlow, PyTorch, LangChain or similar Experience working with cloud based data platforms and modern data architectures Strong analytical and problem-solving skills Excellent communication skills with the ability ...

production. Key Responsibilities AI Solution Development: Design, build and deploy production-grade AI solutions using modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry, working closely with stakeholders to identify high-value use cases across the business. AI Platform & API Engineering: Lead the development of scalable … including prompt engineering, structured outputs, tool calling, retrieval-augmented generation (RAG) and evaluation techniques. Experience with modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry or equivalent technologies. Strong understanding of software engineering best practices, including testing, code review, CI/CD, dependency and package management ...

software development best practicesAdditional AdvantageExperience developing microservices using C#Experience building solutions that integrate with large language models (LLMs) using tools such as Vercel AI, LangChain or similar frameworksExperience working with government digital design systems and templating frameworks such as NunjucksWhat’s on OfferOpportunity to work on a wide range ...

experience with: RAG (Retrieval-Augmented Generation) Agentic workflows and tool use Fine-tuning Vector search and embeddings Retrieval pipelines LLM orchestration frameworks such as LangChain, Semantic Kernel or equivalents Multiple LLM providers and an understanding of their respective strengths and weaknesses Automated test suites and evaluation datasets for AI outputs ...

experience with: RAG (Retrieval-Augmented Generation) Agentic workflows and tool use Fine-tuning Vector search and embeddings Retrieval pipelines LLM orchestration frameworks such as LangChain, Semantic Kernel or equivalents Multiple LLM providers and an understanding of their respective strengths and weaknesses Automated test suites and evaluation datasets for AI outputs ...

have experience with: Commercial Python software development Building scalable backend applications and APIs Generative AI and Large Language Models AI orchestration frameworks such as LangChain, LangGraph or similar SQL and working with structured data Git and modern development practices including CI/CD Experience within financial services or consultancy environments … rapidly evolving world of AI, we'd love to hear from you. Keywords: Python, Software Engineer, AI Engineer, Automation Engineer, Generative AI, LLMs, LangChain, LangGraph, APIs, SQL, CI/CD, Financial Services, Hybrid. ...