26 to 50 of 148 LangChain Jobs in London

services or another regulated enterprise environment Experience with vector databases (for example pgvector, Pinecone, Weaviate, or Chroma) and agent or orchestration frameworks (for example LangChain, LlamaIndex, or the Model Context Protocol) Experience with MLOps/LLMOps tooling such as experiment tracking, model versioning, monitoring, evaluation/observability platforms ...

with engineering, data, DevOps and business teams Advising clients on AI platform capability and implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise ...

prototypes (Copilot Studio, Azure AI Foundry, Databricks Mosaic AI, Genie, MLflow) Design and tune RAG systems — embeddings, prompt engineering, evaluation Build AI agents using LangChain, LangGraph, AutoGen, and similar frameworks Deploy models via Azure OpenAI, Azure AI Foundry, and Docker Write clean, modular Python (OOP, Pydantic, PyTorch) following solid DevOps ...

services environment. You'll ideally have experience with: Python and SQL Large Language Models (LLMs)Prompt engineering, fine-tuning and Retrieval-Augmented Generation (RAG) LangChain, LangGraph or similar agent frameworks Vector databases such as Pinecone, Chroma or FAISS AI Agents and Generative AI applications Cloud platforms including AWS and/ ...

client proposals Candidates should have strong experience in AI Engineering, MLOps and cloud-native AI platforms, alongside hands-on knowledge of technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/CD tooling. Applicants will ideally demonstrate: * Experience working in a major Consulting firm, and/or in industry ...

experience applying agentic AI to modernise legacy systems or build new solutions. Hands‐on expertise with agentic AI frameworks such as AutoGen, Semantic Kernel, LangChain, or equivalents. Ability to apply AI agents across all phases of delivery: requirements, architecture, coding, testing, documentation, and deployment. Experience with LLMs, prompt engineering ...

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 ...

Data & AI Tooling*** Experience working with structured and unstructured data.* Familiarity with vector stores, embeddings, and document processing pipelines.* Exposure to orchestration frameworks (e.g. LangChain‐style patterns) is desirable.**Domain Experience (Highly Desirable)*** Experience delivering AI or data solutions in insurance or financial services.* Understanding of insurance workflows such ...

about building platform capabilities that accelerate experimentation, improve user experiences, and unlock measurable business value. Familiarity with LLM frameworks and GenAI infrastructure, such as LangChain, LlamaIndex, vector stores, retrieval systems, prompt evaluation, model serving, or LLM observability. Why you’ll love it at Preply An open, collaborative, dynamic and diverse ...

against priorities. Technology Vision: Stay current with the rapidly evolving AI landscape, including new foundation models, open‐source frameworks, vector databases, orchestration tools (e.g., LangChain, Semantic Kernel), and evaluation methodologies. Bring new ideas to the team and lead proof‐of‐concept development to assess feasibility and value. Deputising: Represent ...

cloud‐native development practices (Azure preferred). Practical experience with prompt engineering, retrieval‐augmented generation (RAG), fine‐tuning, and AI orchestration frameworks such as LangChain, Semantic Kernel, or equivalent. Strong understanding of data engineering fundamentals and how AI solutions interact with data platforms, pipelines, and governance. Experience operating across large ...

services or another regulated enterprise environment. Experience with vector databases (for example pgvector, Pinecone, Weaviate, or Chroma) and agent or orchestration frameworks (for example LangChain, LlamaIndex, or the Model Context Protocol). Experience with MLOps/LLMOps tooling such as experiment tracking, model versioning, monitoring, evaluation/observability platforms ...

. 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 a big advantage. Experience and knowledge of Agentic development platforms and experience building and delivering ...

cloud security, IAM, cost management. Data & AI Tooling: Working with structured and unstructured data; vector stores, embeddings, document processing pipelines; exposure to orchestration frameworks (LangChain‐style). Domain Experience (Highly Desirable) Experience delivering AI or data solutions in insurance or financial services. Understanding of underwriting, claims, broking, compliance workflows. Experience ...

Demonstrate proficiency in Java and/or Python programming languages Deploy production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilize cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes ...

world problems. Strong backend engineering expertise, including RESTful APIs and micro‐services design. Proficiency in Python/JavaScript and familiarity with AI frameworks (e.g., LangChain, PydanticAI). Solid understanding of cloud computing (AWS, GCP, or Azure), containerisation (Docker, Kubernetes), and Infrastructure‐as‐Code (Terraform). Proven problem‐solving skills ...

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 Back End services as tools/functions callable ...

management on AKS. Strong hands‐on experience with Azure, including Azure OpenAI, Azure AI Search, AKS, and Databricks. Proven production experience with LangGraph and LangChain, including multi‐step agentic workflows and tool‐calling agents. Hands‐on experience with Azure AI Search or other vector/hybrid search solutions, including vector ...

environments Some experience working within engineering teams in agile, client‐facing delivery contexts AI, data and technology awareness Practical experience with: Agentic frameworks: LangGraph, LangChain, CrewAI, Agentforce or similar Foundation model providers: Claude Code/Codex/Gemini, OpenAI or AWS Bedrock Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector Cloud ...

exposure, plus experience in Financial Services or another regulated industry, is essential. Tech skills include Python, SQL, LLM development (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, FastAPI, and AWS, Azure, GCP or Databricks. CI/CD, MLOps and LLMOps familiarity expected. Strong communication and stakeholder ...

technically complex challenges Excellent communication and collaboration skills within multidisciplinary teams Nice to have (but not required) Experience with AI frameworks such as LangChain, LangGraph or similar Experience deploying AI workloads within AWS, Azure or GCP Knowledge of MLOps, containerisation or Kubernetes Experience working on National Security, Defence or Intelligence ...

delivery environments Ability to work closely with stakeholders and translate business requirements into effective AI solutions Desirable Generative AI experience Large Language Models (LLMs) LangChain or similar frameworks Spark, Hadoop or other big data technologies Experience with distributed computing, streaming platforms or workflow orchestration tools Experience monitoring and optimising model ...

proficiency in Python or TypeScript Experience building and deploying LLM‐powered applications or AI agents in production Experience with modern LLM tooling such as LangChain, LlamaIndex, Guardrails, MCP, or agent frameworks Experience implementing RAG pipelines, tool use, or multi‐step AI workflows Strong understanding of AI system evaluation, debugging ...

Nokia, or Ericsson automation-related certifications.TM Forum Open API certification.Nice-to-Have QualificationsExperience with Google Vertex AI, Gemini APIs, BigQuery, or similar platforms.Experience with LangChain, LangGraph, MCP, or agentic AI execution frameworks.Experience with ServiceNow, Netcracker, Amdocs, Ericsson, Nokia, Cisco NSO, Juniper Paragon, or similar orchestration platforms.Experience building secure automation ...

/LLM systems in real projects (not only experimentation). Practical experience building with LLM APIs and frameworks (e.g., Azure OpenAI, Bedrock, Vertex, LangChain, Semantic Kernel) and patterns such as RAG, agentic workflows, and tool/function calling. Machine Learning Expertise: Hands-on machine learning experience spanning model development, evaluation ...