1 to 25 of 114 LangChain Jobs in the UK

Strong articulation, stakeholder management and consulting skills Experience driving productivity and cost optimisationsSkills: Python with AI/ML frameworks (PyTorch, TensorFlow). Prompt Engineering, Langchain,Langsmith/Langfuse, Gen AI/Agentic AI , Cloud platforms (Azure AI Foundry, AWS Bedrock/Sagemaker, GCP Vertex AI) , MLOps/LLMOps tools (MLflow ...

Hands-on experience with Generative AI, LLMs, RAG solutions and AI agent frameworks. Experience with technologies such as OpenAI, Azure OpenAI, Anthropic, AWS Bedrock, LangChain, LangGraph and LlamaIndex. Experience deploying and monitoring AI solutions using MLOps and LLMOps best practices. Knowledge of Azure, AWS or GCP, alongside CI/ ...

powered applications leveraging Retrieval-Augmented Generation (RAG), autonomous agents, and orchestration frameworks. Demonstrate proficiency in Python and agent frameworks such as LangChain, LlamaIndex, or AutoGen. Rapidly develop functional prototypes and production-ready demos within project timelines. Commercial & Growth EnablementSupport identification and pursuit of technical expansion opportunities to accelerate account growth. ...

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 ...

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 ...

GitLab. Hands-on experience building, deploying, and scaling AI/ML solutions using frameworks and platforms such as Scikit-learn, PyTorch, TensorFlow, Hugging Face, LangChain, Databricks, Spark, vector databases, cloud services (AWS/Azure), and MLOps tools including MLflow and Kubeflow. Proven ability to develop production-grade, large-scale ...

Azure ML, or Vertex AI).Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain, LangGraph, Semantic Kernel).Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed AI systems. Automation, Orchestration ...

developing React applications using TypeScript. Familiarity with frameworks such as Next.js, Vite, or similar. Generative AI Technologies Experience 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. ...

Europe, India, and SingaporeContinuous learning – gain hands-on experience with cloud platforms, AI technologies, middleware systems, and modern engineering practicesCore TechnologiesPythonJavaGoAI - LLM Frameworks (LangGraph, LangChain, Agent Frameworks)AWS - GCP - AzureKubernetes - DockerTerraform - AnsibleJenkinsPrometheus - Grafana - SplunkKafka - FlinkSpring BootTomcatIBM MQDataPowerLinux - UnixWhat You'll DoBuild Production-Grade SoftwareDesign and develop scalable automation platforms ...

teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer ...

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 ...

executive stakeholders Desirable Experience working within Financial Services, Insurance or other highly regulated environments would be advantageous. Databricks, MLflow and modern AI platform experience LangChain, LangGraph, Semantic Kernel, AutoGen or similar frameworks Retrieval-Augmented Generation (RAG) architectures Multi-agent orchestration platforms Responsible AI and governance experience Why Join? Join ...

stakeholder management skills for both technical and non-technical audiencesNice to haveExperience operationalizing LLM or Generative AI workflows in Databricks pipelinesFamiliarity with frameworks like LangChain, LlamaIndex or Databricks ML/MosaicMLKnowledge of AI governance, security practices and enterprise integration controlsBackground in financial trading data or related domainsOfficial Databricks certifications such ...

validate, evaluate, and improve AI-generated outputs; understanding of AI limitations and responsible use Familiarity with agentic system concepts awareness of orchestration frameworks (LangChain, LangGraph, or equivalent), RAG pipelines, and how full-stack applications connect to agent-based architecture; production experience preferred, conceptual understanding required About our client Our client ...

Context Protocol) servers and tools, exposing complex internal APIs, databases, and systems as structured, consumable tools for AI agents and applications. * Implement and integrate LangChain and/or LangGraph based agentic workflows, including multi-step reasoning chains, tool-calling pipelines, and orchestration logic. * Develop responsive, high-performance front-end applications ...

Context Protocol) servers and tools, exposing complex internal APIs, databases, and systems as structured, consumable tools for AI agents and applications. Implement and integrate LangChain and/or LangGraph based agentic workflows, including multi-step reasoning chains, tool-calling pipelines, and orchestration logic. Develop responsive, high-performance front-end applications ...

cloud platforms — such as Google Vertex AI Agent Builder, AWS Bedrock, or Azure OpenAI Familiarity with agentic AI frameworks and tooling — such as LangGraph, LangChain, LlamaIndex, or CrewAI — and how they are applied Experience with retrieval-augmented generation (RAG) architectures, vector databases, and LLM-powered applications as part ...

Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such as LangSmith, LangChain, or LangGraph Understanding of model evaluation, validation techniques, and production monitoring Experience working in cross-functional teams from problem framing through to production delivery Ability ...

Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such as LangSmith, LangChain, or LangGraph Understanding of model evaluation, validation techniques, and production monitoring Experience working in cross-functional teams from problem framing through to production delivery Ability ...

Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such as LangSmith, LangChain, or LangGraph Understanding of model evaluation, validation techniques, and production monitoring Experience working in cross-functional teams from problem framing through to production delivery Ability ...

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 ...

Were Looking For 7+ years software engineering experience 2+ years hands-on in AI/ML & GenAI solutions Strong Python & Java skills Experience with LangChain, LlamaIndex, CrewAI, or similar Knowledge of RAG, vector databases, and semantic search AWS cloud expertise (Bedrock, SageMaker preferred) Experience with APIs, microservices, and cloud-native ...

pragmatic with advanced stakeholder communication, problem-solving and project management skills in Agile environmentsExperience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniquesApply now to find out more about this Backend Software Engineer/Developer ...

experience with Amazon Bedrock (or equivalent managed LLM platforms) Strong understanding of AI governance, evaluation and testing methodologies Excellent Python development skills Experience with: LangChain, LlamaIndex or similar frameworks AWS SDK (Boto3) Textract, PyPDF, Unstructured.io or similar document-processing tools CI/CD and MLOps practices Experience designing multi-agent ...

grade software. Hands-on experience with technologies such as Azure OpenAI, Azure AI Services, and Azure Machine Learning. Knowledge of modern AI frameworks including LangChain, Hugging Face, PyTorch, or similar technologies. Deep understanding of LLMs, RAG architectures, vector databases, prompt engineering, agentic AI, and multi-agent systems. Experience deploying, monitoring ...