51 to 75 of 174 LangChain Jobs in England

ability to apply them to real product challenges Experience with agentic AI frameworks and libraries in Python, such as AWS Bedrock AgentCore, LangChain/LangGraph, CrewAI, or the OpenAI Agents SDK, with an understanding of agent design patterns including tool use, orchestration, memory, and multi-agent workflows Ability ...

ability to apply them to real product challenges Experience with agentic AI frameworks and libraries in Python, such as AWS Bedrock AgentCore, LangChain/LangGraph, CrewAI, or the OpenAI Agents SDK, with an understanding of agent design patterns including tool use, orchestration, memory, and multi-agent workflows Ability ...

PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience with modern engineering practices Git, version control, unit testing and containerisation. Familiarity with agile work methodologies and tools like Jira and Confluence. ...

wider CDO organisations, and Internal Audit. Technologies You’ll Work With LLMs and agentic frameworks RAG architectures AI agents and orchestration (e.g. LangChain/LangGraph) Python and modern data engineering Snowflake and governed semantic layers AWS/GCP cloud services Vector databases Data pipelines and MLOps tooling Business intelligence ...

MLflow. Building, optimising and evaluating Retrieval-Augmented Generation (RAG) solutions using prompt engineering and embedding models. Designing and deploying AI agents using frameworks including LangChain, LangGraph and AutoGen. Delivering production-ready GenAI applications for commercial teams within Trading & Supply. Building scalable AI workflows on Databricks using Mosaic AI, MLflow, Genie ...

MLflow. Building, optimising and evaluating Retrieval-Augmented Generation (RAG) solutions using prompt engineering and embedding models. Designing and deploying AI agents using frameworks including LangChain, LangGraph and AutoGen. Delivering production-ready GenAI applications for commercial teams within Trading & Supply. Building scalable AI workflows on Databricks using Mosaic AI, MLflow, Genie ...

MLflow. Building, optimising and evaluating Retrieval-Augmented Generation (RAG) solutions using prompt engineering and embedding models. Designing and deploying AI agents using frameworks including LangChain, LangGraph and AutoGen. Delivering production-ready GenAI applications for commercial teams within Trading & Supply. Building scalable AI workflows on Databricks using Mosaic AI, MLflow, Genie ...

MLflow. Building, optimising and evaluating Retrieval-Augmented Generation (RAG) solutions using prompt engineering and embedding models. Designing and deploying AI agents using frameworks including LangChain, LangGraph and AutoGen. Delivering production-ready GenAI applications for commercial teams within Trading & Supply. Building scalable AI workflows on Databricks using Mosaic AI, MLflow, Genie ...

MLflow. Building, optimising and evaluating Retrieval-Augmented Generation (RAG) solutions using prompt engineering and embedding models. Designing and deploying AI agents using frameworks including LangChain, LangGraph and AutoGen. Delivering production-ready GenAI applications for commercial teams within Trading & Supply. Building scalable AI workflows on Databricks using Mosaic AI, MLflow, Genie ...

generation, vector indexing, and retrieval workflows. Familiarity with AI prompt development, prompt tuning, prompt templates, and prompt evaluation techniques. Exposure to vector databases, OpenSearch, LangChain/LangGraph, knowledge graphs (Neptune), cloud networking, security best practices, cost optimisation, and enterprise production support. Additional eligibility requirements: · Candidates must hold or be eligible ...

Retrieval-Augmented Generation (RAG). Knowledge of vector databases and semantic search. Experience with Python alongside TypeScript. Familiarity with AI orchestration frameworks such as LangChain, LangGraph, or similar. Experience with CI/CD pipelines, Infrastructure as Code, and containerization. Knowledge of modern frontend frameworks such as React or Next.js. Experience ...

reinforcement learning techniques for model alignment (RLHF, RLAIF, DPO, PPO) and safety/red‐teaming methodologies Deep familiarity with advanced agentic frameworks and architectures (LangChain, LangGraph, DSPy, AutoGen, or equivalent), including multi‐agent orchestration and tool use Experience with multimodal AI systems (text, image, code, speech) and cross‐modal reasoning ...

reasoning loops, tool-use, planning, and memory patterns. Hands-on experience (or strong aptitude to learn) building or integrating agents using frameworks such as LangChain, LangGraph, AutoGen, CrewAI , or the Model Context Protocol (MCP) . Ability to design and expose backend services as tools/functions callable by AI agents ...

engineers Requirements Commercial experience building multi-agent or agentic AI systems in production Strong Python skills and hands‐on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding of secure deployment ...

Deep AWS/EKS/Envoy — Bedrock, IAM, Aurora, CloudFormation, GPU scheduling, multi‐tenancy, service mesh (Istio), envoy GenAI/Agentic AI — LangGraph/LangChain or Google ADK, MCP/A2A protocols, prompt engineering, RAG, vLLM serving Some other highly valued skills may include; AI safety/guardrails — prompt injection ...

MLflow. Building, optimising and evaluating Retrieval-Augmented Generation (RAG) solutions using prompt engineering and embedding models. Designing and deploying AI agents using frameworks including LangChain, LangGraph and AutoGen. Delivering production-ready GenAI applications for commercial teams within Trading & Supply. Building scalable AI workflows on Databricks using Mosaic AI, MLflow, Genie ...

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 ...

developing Generative AI and Agentic AI solutions Experience with Retrieval-Augmented Generation (RAG) architectures and vector databases Experience with AI orchestration frameworks such as LangChain, Semantic Kernel, AutoGen, or similar Experience designing, evaluating, and optimising prompts for Large Language Models Experience deploying AI solutions into cloud environments, ideally Azure Strong ...

delivery end-to-end - from initial exploration through to production deployment, integration and ongoing iteration. Working with MCP-style architectures (FastMCP/FastAPI) and LangChain/LangGraph or equivalent frameworks to build reliable, scalable systems. Integrating AI into products, APIs and core business workflows - with a sharp eye on latency ...

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. ...

monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine‐tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands‐on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales ...

monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine‐tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands‐on experience working with Distributed Spark based systems. Experience with data engineering concepts or a good understanding of data engineering concepts. Pre‐sales ...

Language Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering AI Guardrails AI Evaluation Frameworks Experience with AI frameworks such as Agent Development Kit (ADK), LangChain, LangGraph, CrewAI, or similar. Experience working with cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure. Strong understanding of system reliability, observability, monitoring ...

monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales ...

shared internal service (multi-tenant). Bedrock/model-hosting and API gateway management. FinOps for AI (usage-based cost optimisation). LangGraph, LangChain understanding Accessibility We are committed to providing an inclusive and accessible recruitment experience. If you need adjustments at any stage of the application or hiring process ...