26 to 50 of 116 LangChain Jobs in London

pipelines, and observability tools. Hands-on experience with languages and tools like Ruby, Java, React, GraphQL, AWS/GCP, and Kubernetes. Bonus: Experience with vector databases, LLM frameworks (e.g., LangChain, RAG), and open-source AI tools. Excellent communication, collaboration, and problem-solving skills. Strong organizational skills with a passion for continuous improvement. Agile Practices: Demonstrated success with agile product development More ❯

to use them. Familiarity with trunk-based development in Git. Experience with back-end web application frameworks (Django, FastAPI, etc.). Experience with language models and agentic workflows (e.g., Langchain, AutoGPT). Knowledge of model evaluation metrics and techniques. Google Cloud (Cloud Functions, AppEngine, PubSub, Stackdriver, etc.). Docker, Kubernetes. Typescript, NodeJS, React, Webpack, etc. Java, C#. Experience within the More ❯

be nice if you have: Exposure to container orchestration (e.g., Kubernetes) Experience building or maintaining infrastructure for AI workloads, including support for agents, LLMs, or vector databases. Familiarity with LangChain, LangSmith, or similar agent orchestration and tracing tools. Experience managing and scaling applications in cloud environments, particularly with Azure. As part of our commitment to information security, all employees are More ❯

community. Engineering Design, develop, and optimize AI/ML features in Qdrant's core engine and SDKs. Prototype and implement integrations with popular ML frameworks (e.g., Hugging Face, OpenAI, LangChain). Analyze performance, identify bottlenecks, and implement scalable solutions in real-world AI pipelines. Collaborate with product and engineering teams to define and deliver impactful features. Community & Customer Engagement Support More ❯

products, or business applications. Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions. Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python Experience with at least one of the following: Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android) Back-end technologies like Java More ❯

/Flask for Python backend services, with additional OfficeJS API knowledge preferred Extensive knowledge of AI and machine learning ecosystems, including proficiency in modern RAG/Agent frameworks including Langchain/Langgraph, Llamaindex, Pydantic, Vercel AI SDK, and DSPY Strong analytical and problem-solving skills, with the ability to translate complex business requirements into effective AI solutions. Excellent collaboration and More ❯

technical requirements and solution architecture for complex AI systems. Strong experience building and consuming API services in Python, using FastAPI or similar. Strong experience with LLM frameworks such as langchain, Pydantic-AI, Google ADK, OpenAI's Assistants, litellm, etc (it's not required to know them all), and an understanding of how they facilitate agentic AI development. Strong practical knowledge More ❯

on expertise in Python, SQL, ML frameworks (e.g. XGBoost, TensorFlow, PyTorch), and cloud tools (GCP, BigQuery, Vertex AI). Familiar with generative AI tools and frameworks (e.g. OpenAI, HuggingFace, LangChain). Deeply curious, commercially minded, and impact-driven with strong critical thinking skills. Comfortable in fast-paced environments with a proactive, self-starter mindset. Holds a relevant STEM degree (BSc More ❯

be nice if you have: Exposure to container orchestration (e.g., Kubernetes) Experience building or maintaining infrastructure for AI workloads, including support for agents, LLMs, or vector databases. Familiarity with LangChain, LangSmith, or similar agent orchestration and tracing tools. Experience managing and scaling applications in cloud environments, particularly with Azure. As part of our commitment to information security, all employees are More ❯

compliance teams to deliver real-world results What We’re Looking For • 5+ years' ML experience with strong Python skills • Experience with NLP, LLMs, and prompt engineering • Familiarity with LangChain, Semantic Kernel, or AutoGen • OCR/document layout modelling experience • Cloud-native deployment experience (AWS, Azure, or GCP) • Strong engineering mindset – writing production-grade, scalable code Bonus Points For • Experience More ❯

compliance teams to deliver real-world results What We're Looking For • 5+ years' ML experience with strong Python skills • Experience with NLP, LLMs, and prompt engineering • Familiarity with LangChain, Semantic Kernel, or AutoGen • OCR/document layout modelling experience • Cloud-native deployment experience (AWS, Azure, or GCP) • Strong engineering mindset - writing production-grade, scalable code Bonus Points For • Experience More ❯

Terraform. Minimum Requirements · 5+ years of experience as a Software Engineer, with at least 2 years in AI/ML or LLM-centric development. · Proven track record with LangGraph, LangChain, or similar orchestration frameworks. · Expert in Python (asyncio, FastAPI preferred). · Hands-on experience building and deploying applications on AWS, particularly using Lambda, Fargate, S3, Step Functions, and DynamoDB. · Familiarity More ❯

Automate, Power Apps, and custom connectors SharePoint Development Proficiency in Microsoft Graph API, Azure OpenAI, and Semantic Kernel Solid programming skills in Python and/or C# Experience with: LangChain, AutoGen, or similar orchestration frameworks Azure AI Search, Form Recognizer, and Language Services GitHub Actions, CI/CD, and DevSecOps practices Familiarity with: Responsible AI frameworks (e.g., NIST AI RMF More ❯

Automate, Power Apps, and custom connectors SharePoint Development Proficiency in Microsoft Graph API, Azure OpenAI, and Semantic Kernel Solid programming skills in Python and/or C# Experience with: LangChain, AutoGen, or similar orchestration frameworks Azure AI Search, Form Recognizer, and Language Services GitHub Actions, CI/CD, and DevSecOps practices Familiarity with: Responsible AI frameworks (e.g., NIST AI RMF More ❯

products, or business applications. Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions. Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python Experience with at least one of the following: Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android) Back-end technologies like Java More ❯

end and front-end interfaces. • You have strong technical coding skills in Python • You have experience with deep learning with Pytorch • You have experience with agents framework such as Langchain, vector DBs • You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences Ideally you have: • Contributed to open More ❯

complex applications. Cloud Deployment: Experience with cloud-native applications on Azure and deployment of Python applications on Azure. AI Frameworks and Tools: Familiarity with frameworks and tools such as LangChain, LlamaIndex, CrewAI, Semantic Kernel, Autogen and Agno. An understanding of how Large Language Models (LLMs) work. Data Engineering & Modelling: Understanding of ORM/entity relationships, NoSQL, JSON, XML, SQL and More ❯

would be beneficial, though all we require is an interest in developing these skills in post: Familiarity with tools for working with Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams via More ❯

plus. Experience using source control systems (e.g., Git). Experience in generative AI and LLM research preferred. Essential Skills: Python programming Generative AI knowledge Understanding of MCP servers and LangChain frameworks More ❯

Ability to work independently and drive architecture decisions A relevant degree or equivalent experience Desirable: Experience with Kubernetes and OpenShift Familiarity with MCP or agent-based frameworks Knowledge of LangChain, LlamaIndex, or other orchestration tools Background in building developer tools or platforms Understanding of LLM prompt engineering and optimization Experience with Terraform or CloudFormation Join us to work on a More ❯

Responsibilities Architect and implement LLM-based systems with advanced reasoning capabilities, including context engineering, role-based prompting, and multi-agent orchestration. Select and integrate appropriate frameworks and tools (e.g. LangChain, LangGraph, AutoGen, CrewAI, Agno, Smallagons, OpenHands) for specific use cases. Design, optimise, and evaluate tokenisation, embedding, and vector store strategies - including trade-offs between embedding dimensions, indexing performance, and retrieval More ❯

Responsibilities Architect and implement LLM-based systems with advanced reasoning capabilities, including context engineering, role-based prompting, and multi-agent orchestration. Select and integrate appropriate frameworks and tools (e.g. LangChain, LangGraph, AutoGen, CrewAI, Agno, Smallagons, OpenHands) for specific use cases. Design, optimise, and evaluate tokenisation, embedding, and vector store strategies - including trade-offs between embedding dimensions, indexing performance, and retrieval More ❯

solving and communication skills You're considerate, humble, and a strong believer in teamwork You're comfortable taking ownership, accountability and responsibility Experience with the latest agentic frameworks ( e.g. langchain, llamaindex ) and protocols like MCP. Experience using AI-augmented ecosystem for development like Cursor, Windsurf, Claude Code. Based in the UK or Europe Nice to haves Knowledge of OAuth/ More ❯

Cloud & DevOps: AWS (20+ services), Kubernetes (EKS), Docker, Infrastructure as Code(CloudFormation, Terraform), CI/CD (Jenkins,GitHub Actions), Observability(AWS, Grafana) Development tools: GitHub, Jira, Notion, ChatGPT,Gemini,LangChain, AI-native IDE's (Cursor, JetBrains), LLM-powered internal tools. WHAT WE OFFER YOU A front-row seat in a fast scaling, early stage startup. Working on cutting edge problems More ❯

language models. You’ll work on fine-tuning, integrating, and scaling LLMs for real-world applications. Key Skills: Strong Python engineering background Experience with LLMs (e.g. Hugging Face, OpenAI, LangChain) Model fine-tuning, RAG pipelines, vector databases (e.g. FAISS, Pinecone) Cloud (AWS/GCP), CI/CD, Docker Bonus: Knowledge of model optimization, quantization, or open-source contributions. 📩 If interested More ❯