14 of 14 Permanent LangChain Jobs in Manchester

TypeScript, using frameworks such as Next.js or Vite.* AI and Agentic Systems: Hands-on experience designing and deploying agentic architectures using frameworks such as LangChain, LangGraph, CrewAI, or the Anthropic Agent SDK, including tool use, MCP servers, and multi-agent orchestration.* LLM Experience: Practical, production experience with LLM providers (Anthropic ...

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 ...

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 ...

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 ...

Augmented Generation (RAG) and AI applicationsAgentic AI, AI agents, intelligent assistants and AI-enabled automationPrompt engineering, AI evaluation and Responsible AIAI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP)Data engineering, pipelines, modelling and governanceAdvanced analytics, machine learning and statistical modellingData visualisation and insight solutionsCandidates should understand ...

using common CI/CD tools (GitHub Actions, Azure DevOps, Jenkins, CircleCI etc.) - Experience building LLM or foundation-model applications using frameworks such as LangChain, vector databases or agentic AI approaches - Experience with MLOps and Infrastructure as Code (Terraform, CloudFormation etc.) for data, analytics and AI services - Experience with data ...

/TS)Experience integrating with NoSQL databases (e.g., MongoDB or Cosmos DB)Exposure to developing solutions that integrate with LLMs using tools such as Langchain, etc.Familiarity with modern design systems and templating engines (e.g., Razor or the GOV.UK Design System)WHAT YOU'LL LOVE ABOUT WORKING HERE We are delighted ...

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 ...

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 ...

working on: Building and improving RAG pipelines, including retrieval strategies, chunking, reranking and grounding. Developing GenAI applications and agentic workflows using tools such as LangChain, LangGraph or similar frameworks. Working on model adaptation, fine-tuning, instruction tuning and optimisation. Designing evaluation frameworks to measure retrieval quality, hallucinations, answer accuracy ...

Scala Event streaming technologies such as Kafka, Pulsar, or Azure Event Hub Integration with Collibra Apache Iceberg Apache Arrow Pyspark AI engineering (Snowflake AI, Langchain, Llamaindex, Pinecone, etc) Insight is committed to being an inclusive employer and encourages applications from all suitably qualified applicants irrespective of background, circumstances, age, disability ...

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 ...

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 ...