22 of 22 LangChain Jobs in Manchester

Generative AI and Agentic AI concepts, including: RAG architectures Embeddings and vector search Evaluation frameworks LLM orchestration Hands-on experience with frameworks such as: LangChain LangGraph LlamaIndex CrewAI Autogen Google ADK Similar modern AI frameworks Experience developing and deploying AI solutions on cloud platforms such as: Azure AI Foundry, Azure ...

tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK Hands-on experience with Generative and Agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ADK, or similar. Ability to design and implement RAG pipelines, agentic workflows, MCP and integration with LLM APIs (OpenAI, Anthropic, Hugging ...

equivalent* **Frontend Development**: Experience in building React applications using TypeScript, leveraging frameworks such as **Next.js** or **Vite**.* **GenAI Frameworks**: Familiarity with tools like **LangChain**, **LangGraph**, **CrewAI**, or **Vercel AI** (in Python or JavaScript).* **LLM experience**: Practical experience with **Large Language Models** (LLMs) such as **OpenAI**, **Anthropic**, **Mistral ...

equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama ...

autonomous agent systems , building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation , creating resilient data pipelines, scalable deployment architectures and automated ...

autonomous agent systems, building next‐generation AI applications using foundation models, retrieval‐augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation, creating resilient data pipelines, scalable deployment architectures and automated ...

using REST APIs. Proven prompt engineering experience. Experience deploying AI solutions into production environments. Excellent stakeholder management and communication skills. Desirable Experience Knowledge Graphs. LangChain and/or LangGraph. Vector Databases and Embeddings. Multi-Agent Systems. Azure, AWS or GCP cloud platforms. Preferred Background We're particularly interested in candidates ...

highly beneficial: Machine Learning and AI Engineering Generative AI and Large Language Models Prompt engineering and context engineering scikit-learn, PyTorch or TensorFlow LangChain or similar AI frameworks Cloud data platforms and services across AWS, Azure or GCP Data warehouses and modern data platforms Big data and distributed processing technologies ...

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 ...

embeddings AI workflow automation Python, C# and/or TypeScript APIs and system integration SQL/databases Cloud platforms, particularly Azure Frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen or similar Most importantly, you will be someone who understands how to turn AI capabilities into robust, commercially useful software. ...

software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache ...

loop workflows (e.g., RLHF) to enable continuous improvement. Familiarity with Model Context Protocol (MCP) for tool interoperability, plus Google ADK, LangGraph/LangChain for agent orchestration and multi‐agent patterns. Ray, Kubeflow, or similar frameworks. Experience embedding controls, audit evidence, and governance in regulated environments. Experience with GPU efficiency, autoscaling ...

developer’s experience when building and deploying AI applications. Documentbest practiceson generativeAI ecosystems,whento usewhichtools,availablemodels suchas GPT, Llama, Claude,etc.and libraries such as Langchain and SematicKernel. What you’ll bring to the role: Experienceimplementing enterprisearchitectureinat least onemajor cloud provider (Azure, AWS, GCP). Bachelor’s or a master'sdegree ...

standards, accessibility, and development best practice## **Bonus:*** Building microservices in C#* Experience building solutions that integrate with LLMs using tools such as Vercel AI, Langchain etc.* Using the GOV.UK Design System and using Nunjucks## **WHAT YOU'LL LOVE ABOUT WORKING HERE?**We are delighted to have received the **“Glassdoor Best ...

with Docker, Java/Scala, Kafka, Pulsar, Azure Event Hub, Collibra, Apache Iceberg, Apache Arrow, PySpark or AI engineering technologies such as Snowflake AI, LangChain, LlamaIndex or Pinecone would be advantageous. This is a great opportunity to join a collaborative team and have genuine influence over the development ...

agent solutions Build RAG pipelines covering embeddings, retrieval and generation Work with OpenAI, Anthropic, Mistral, Llama and similar LLMs Use LangChain, LangGraph, CrewAI or similar AI frameworks Work with vector databases including Pinecone, Qdrant, ChromaDB and PGVector Take GenAI POCs into production and scale them Build APIs, microservices … development experience Experience building APIs, microservices and backend applications Hands-on experience with LLMs, Generative AI and RAG Experience with AI frameworks such as LangChain, LangGraph or CrewAI Experience with vector databases and semantic search Experience with OpenAI, Anthropic, Mistral, Llama or similar Good software engineering, testing and Git practices ...

agent solutions Build RAG pipelines covering embeddings, retrieval and generation Work with OpenAI, Anthropic, Mistral, Llama and similar LLMs Use LangChain, LangGraph, CrewAI or similar AI framework Work with vector databases including Pinecone, Qdrant, ChromaDB and PGVector Take GenAI POCs into production and scale them Build APIs, microservices … development experience Experience building APIs, microservices and backend applications Hands-on experience with LLMs, Generative AI and RAG Experience with AI frameworks such as LangChain, LangGraph or CrewAI Experience with vector databases and semantic search Experience with OpenAI, Anthropic, Mistral, Llama or similar Good software engineering, testing and Git practices ...

design, develop and scale full-stack solutions, collaborating with teams to deploy robust end-to-end platforms. The role emphasizes hands-on work with LangChain, LLMs, cloud hosting and modern CI/CD pipelines. You will grow technically by exploring emerging GenAI technologies, mentoring peers, and contributing to business development ...

automate complex business workflows. Apply Prompt Engineering and Context Engineering techniques to optimise AI performance and accuracy. Implement AI solutions using frameworks such as LangChain , LangGraph , and MCP . Integrate AI services and enterprise platforms through REST APIs and cloud-native architectures. Deliver scalable, secure, and reliable solutions using Python … Skills AI , Generative AI (GenAI) , Large Language Models (LLMs) , Natural Language Processing (NLP) Prompt Engineering , Context Engineering AI Agents , Agentic AI , Multi-Agent Systems LangChain , LangGraph , Model Context Protocol (MCP) RAG , Embeddings , Vector Databases Python , SQL , REST APIs Git , CI/CD Cloud Platforms (Azure ...

clients in London, Manchester, or Glasgow. You will design, develop and scale full-stack solutions, collaborating with cross-functional teams and leveraging AI frameworks, LangChain, and cloud platforms. The role offers hybrid working, opportunities to grow in GenAI, and exposure to client-facing engagements. A security clearance or eligibility ...

End Date Friday 09 October 2026 Salary Range £72,702 - £80,780 Location(s) Bristol, Chester or Manchester Hours Full time, 35 hours per week Working Pattern Our work style is hybrid, which involves spending ...

scalability and performance. Implement vector/graph database solutions and RAG techniques for information storage and retrieval. Develop agentic reasoning workflows using frameworks like LangChain or LlamaIndex. Lead the full AI lifecycle: data ingestion, embedding, extraction, synthesis, prompt engineering, and workflow orchestration. Deploy, monitor, and maintain models in Docker-based … Postgres for database solutions. Experience with vector and graph databases, and RAG-based architectures. Experience of with agentic frameworks and orchestration frameworks such as LangChain or LlamaIndex. Solid understanding of LLMs, embeddings, and prompt engineering. Highly Desirable: Experience designing multi-agent systems or autonomous workflows. Hands-on experience with Docker ...