1 to 25 of 41 LangChain Jobs in London

real-world impact highly desirable. Expert-level proficiency in Python, and modern AI/ML frameworks, including PyTorch, TensorFlow, and specialised Generative AI libraries (LangChain, LangGraph or related open-source toolkits strongly preferred. Background in Traditional ML/AI. Deep understanding of LLMs, prompt engineering, RAG pipelines, vector databases ...

efficiency. Insurance Domain experience is added advantage. Your Technical Toolkit AI/ML: Expert proficiency in Python , PyTorch/TensorFlow, and GenAI frameworks like LangChain, LlamaIndex, or CrewAI . Data Architecture: Hands-on experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate) and SQL/NoSQL systems. Infrastructure: Proven track record ...

efficiency. Insurance Domain experience is added advantage. Your Technical Toolkit AI/ML: Expert proficiency in Python , PyTorch/TensorFlow, and GenAI frameworks like LangChain, LlamaIndex, or CrewAI . Data Architecture: Hands-on experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate) and SQL/NoSQL systems. Infrastructure: Proven track record ...

efficiency. Insurance Domain experience is added advantage. Your Technical Toolkit AI/ML: Expert proficiency in Python , PyTorch/TensorFlow, and GenAI frameworks like LangChain, LlamaIndex, or CrewAI . Data Architecture: Hands-on experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate) and SQL/NoSQL systems. Infrastructure: Proven track record ...

tuning Practical knowledge of RAG (Retrieval-Augmented Generation) architectures, including chunking strategies, vector embeddings, and similarity search Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar Experience designing and building agentic systems — tool-calling agents, multi-step reasoning, and human-in-the-loop workflows Understanding of MCP (Model ...

design and deployment of scalable AI solutions across Python, .NET, and cloud-native platforms Drive adoption of advanced frameworks (PyTorch, TensorFlow, Hugging Face, LangChain) Oversee integration of LLMs (OpenAI, Anthropic, Gemini, Mistral) via enterprise platforms (Azure OpenAI, Vertex AI) Implement RAG architectures and manage vector databases (Pinecone, Weaviate, FAISS, Milvus ...

experience with various data science and machine learning libraries. Experience with libraries/frameworks like NumPy, Pandas, SciPy, Scikit‐learn, TensorFlow, PyTorch, Transformers, Langchain, Streamlit, or Gradio, among others. Experience with cloud‐based tools for production use (e.g., AWS SageMaker, AWS Bedrock, Vertex AI, Azure Machine Learning, Azure OpenAI). ...

Generative AI & LLMs, RAG (Retrieval-Augmented Generation), Agentic AI frameworks Hands-on with; LLMs (OpenAI, Llama, Claude, Mistral), Vector DBs (Pinecone, Weaviate, FAISS), Frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, LangGraph) Strong Python + ML frameworks (PyTorch/TensorFlow) Experience deploying on AWS, Azure, or GCP Experience leading or influencing technical teams ...

. Solid understanding of LLMs, Prompt engineering/tuning, Vector DBs (AstraDB, Pinecone, Weaviate etc), RAG pipelines (LlamaIndex, Haystack) and Agent/Workflow Orchestration (LangChain, LangGraph, CrewAI) Knowledge of SLM Finetuning and Distillation is big advantage. Experience and knowledge of Agentic development platforms and experience building and delivery enterprise agentic ...

with hands-on experience building models and data pipelines Proven experience working with Generative AI (LLMs, prompt engineering, embeddings) Experience using frameworks such as LangChain, LlamaIndex, or similar Experience integrating with model APIs (e.g. OpenAI or open-source alternatives) Exposure to cloud environments (AWS, GCP or Azure) Strong problem-solving ...

agents). Ability to move fast without compromising on code quality, testing, and operational excellence . Nice to have Experience with tools such as LangChain, LlamaIndex, Haystack, Hugging Face, Weaviate, CrewAI, AutoGen , or similar. Hands-on work with Retrieval Augmented Generation , AI agents, and agent orchestration frameworks. Experience working with ...

engineering environments. Strong expertise in Python and AI/ML libraries: PyTorch, TensorFlow, Scikit‐Learn, Keras, NumPy, Pandas, JAX, XGBoost, PyTorch Geometric, OpenCV, Transformers, LangChain, Pinecone . Proven hands‐on experience deploying models in production and building scalable AI software. Deep understanding of advanced modelling methods: deep learning, GNNs, computer ...

business objectives and delivering impactful outcomes • Understanding of various GenAI platform & middleware and how they fit in GenAI architecture e.g., AWS Bedrock, Google Vertex, Langchain or LlamaIndex • Able to understand & apply advanced prompt engineering methods and related concepts (RAG, context windows, memory) RAG is a must! • Experience in the organisation ...

Skills Python, TypeScript LLM frameworks (LangChain, LlamaIndex, OpenAI tools, Semantic Kernel) Vector databases (Pinecone, Weaviate, Chroma) Cloud (AWS/Azure/GCP) Docker, Kubernetes CI/CD, observability, testing for AI systems Experience Strong experience building LLM applications, RAG systems, or AI agents Understanding of prompt engineering, tool-calling ...

Express Experience building microservices architectures React and TypeScript front end development experience Familiarity with Next.js or Vite Experience with Generative AI frameworks such as LangChain, LangGraph or CrewAI Experience working with Large Language Models such as OpenAI, Anthropic, Llama or Mistral Exposure to Retrieval Augmented Generation or AI agents ...

Express Experience building microservices architectures React and TypeScript front end development experience Familiarity with Next.js or Vite Experience with Generative AI frameworks such as LangChain, LangGraph or CrewAI Experience working with Large Language Models such as OpenAI, Anthropic, Llama or Mistral Exposure to Retrieval Augmented Generation or AI agents ...

Requirements: Proven experience designing and productionising RAG pipelines and agentic AI architectures Hands‐on delivery of agent‐based AI systems with orchestration tools (e.g., LangChain, CrewAI) in production. Strong Python engineering skills with solid testing, optimisation, CI/CD, and code quality; Experience implementing and scaling vector databases (Pinecone, Weaviate ...

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 ...

Core Requirements Strong Python skills with experience writing production-grade code Proven experience deploying LLM-powered systems into production environments Hands-on experience with LangChain, LangGraph, or equivalent orchestration frameworks Experience building AI agents and agentic workflows with tool usage and multi-step reasoning Strong understanding and implementation experience ...

software engineering or AI application development, with shipped production projects Proficiency in Python and SQL Experience building LLM-based applications (e.g. OpenAI, Azure OpenAI, LangChain, etc.) Experience designing and building end-to-end projects, ideally with personal AI projects that demonstrate passion for the space Strong problem-solving ability with ...

fine‐tuning Foundation Models including multimodal inputs and outputs. Strong experience working with key LLM models APIs (e.g. OpenAI, Anthropic) and LLM Frameworks (e.g. LangChain, LlamaIndex). Proficiency in generating and working with embeddings across variety of data formats. Understanding of embedding spaces and their applications in semantic search ...

Familiarity with LLM evaluation strategies and how to measure whether your system is actually working Hands-on with AI orchestration frameworks: LangGraph, LangChain, DSPy or equivalent Knowledge of model optimisation for production deployment (quantisation, distillation, fine-tuning approaches) is a strong plus for at least one of these roles Attributes ...

environments Required Experience: • Strong Python engineering skills with production-grade coding standards • Proven experience shipping LLM-powered applications into production • Hands-on experience with LangChain/LangGraph or similar frameworks • Experience building AI agents with orchestration and tool usage • Strong understanding of RAG architectures and LLM trade-offs • Experience deploying ...

integrations and distributed systems • Experience with cloud environments (AWS/GCP) • Strong delivery tracking, reporting, and coordination skills Good to Have • Exposure to LangChain, LangGraph, CrewAI, or AutoGen • Familiarity with LLMOps concepts and tools • Understanding of RAG pipelines or vector databases • Experience with Jira, Confluence, or similar tools ...

collaboration with engineering teams Practical knowledge of prompt engineering, RAG pipelines, agent workflows, and model evaluation Familiarity with modern GenAI tooling such as LangChain, LangGraph, or similar frameworks Motivation to work in a startup environment, with comfort around ambiguity, pace, and ownership What They Offer Salary between ...