1 to 25 of 340 LangChain Jobs in the UK

multimodal models, and earlier architectures such as GANs and VAEs. Experience across text, code, image, and multimodal generation; advanced prompt engineering; orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel). Hands‐on exposure to both API‐based (Claude, GPT, Gemini) and open‐source (Llama, Mistral) LLM‐based solution design. Agentic ...

solutions using OpenAI, Azure OpenAI, Anthropic, Gemini, Llama, Mistral, HuggingFace, and emerging AI platforms. Hands-on experience with AI orchestration and agent frameworks including LangChain, LangGraph, Semantic Kernel, LlamaIndex, CrewAI, and AutoGen. Strong knowledge of Prompt Engineering, RAG, Vector Databases (Pinecone, Weaviate, Chroma, FAISS, Azure AI Search), Model Fine-Tuning ...

automated evals, experiment tracking, observability, model lifecycle management. Responsible AI : governance frameworks, guardrails, model safety, compliance, and auditability. Preferred but not required Orchestration frameworks : LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen, DSPy, Semantic Kernel, Strands. Advanced retrieval : Graph RAG, knowledge graphs, context graphs, hybrid search, vector databases. Agentic patterns : multi-agent ...

statistics, probability, optimization, experimentation, and applied machine learning**.* Advanced proficiency in Python and modern AI frameworks, including **PyTorch, TensorFlow, Scikit-Learn, Hugging Face, LangChain, Semantic Kernel, and related ecosystems**.* Experience building and scaling **enterprise AI platforms, ML infrastructure, and intelligent applications serving thousands of users**.* Strong understanding ...

concepts, including: + RAG architectures + Embeddings and vector search + Evaluation frameworks + LLM orchestration* Hands-on experience with frameworks such as: + LangChain + LangGraph + LlamaIndex + CrewAI + Autogen + Google ADK + Similar modern AI frameworks* Experience developing and deploying AI solutions on cloud platforms ...

concepts, including: + RAG architectures + Embeddings and vector search + Evaluation frameworks + LLM orchestration* Hands-on experience with frameworks such as: + LangChain + LangGraph + LlamaIndex + CrewAI + Autogen + Google ADK + Similar modern AI frameworks* Experience developing and deploying AI solutions on cloud platforms ...

Generative AI and Agentic AI concepts, including: RAG architectures Embeddings and vector search Evaluation frameworks LLM orchestration Hands-on experience with frameworks such as: LangChain LangGraph LlamaIndex CrewAI Autogen Google ADK Similar modern AI frameworks Experience developing and deploying AI solutions on cloud platforms such as: Azure AI Foundry, Azure ...

high‐value AI opportunities across Waystone. AI Engineering: Prototype AI features and iterate towards production‐ready capabilities. Build agentic workflows using frameworks such as LangChain or Microsoft Agent Framework, with a solid understanding of agent fundamentals (tools, memory, orchestration, context control). Implement AI agents with tool integration, memory, context ...

best practices, testing, version control, and deployment. Ability to work with technical and non-technical stakeholders. Desirable Skills Experience with OpenAI, Azure OpenAI, Anthropic, LangChain, LlamaIndex, Hugging Face, or similar tools. Experience deploying AI models or AI applications into production. Knowledge of MLOps, CI/CD, monitoring, and model evaluation. ...

experience building LLM agents, RAG systems, or orchestrated AI workflows in productionStrong Python (with PyTorch, TensorFlow, or similar frameworks)Experience with agent frameworks (LangChain, LangGraph, AutoGen, or similar)Solid understanding of APIs, backend services, and microservices architecturesExperience working with cloud platforms (AWS, GCP, or Azure) and containerised systems (Docker, Kubernetes ...

teams and mentoring engineers. Desirable Experience within EdTech, SaaS, or digital consumer products. Knowledge of adaptive learning, recommendation systems, or educational analytics. Experience with LangChain, LlamaIndex, vector databases, and AI orchestration frameworks. Understanding of responsible AI, privacy, and ethical AI development. Passion for improving education through technology. Reference: AMC/ ...

teams and mentoring engineers. Desirable Experience within EdTech, SaaS, or digital consumer products. Knowledge of adaptive learning, recommendation systems, or educational analytics. Experience with LangChain, LlamaIndex, vector databases, and AI orchestration frameworks. Understanding of responsible AI, privacy, and ethical AI development. Passion for improving education through technology. Reference: AMC/ ...

proficient in Python programming with hands-on experience using modern AI/ML tooling (such as PyTorch or TensorFlow) and enterprise frameworks (such as LangChain, LlamaIndex, CrewAI, or Haystack). A proven track record of designing RESTful APIs, microservices, and event-driven architectures to build and ship production-ready, enterprise ...

model endpoints, pipelines, embeddings, vector search) or equivalent cloud‐native AI/ML platforms (e.g. AWS SageMaker, AzureML) and agent orchestration frameworks (e.g. LangChain, LangGraph, ADK). Solid understanding of MLOps – CI/CD, IaC (Terraform), experiment tracking, model registry, and monitoring. Proven experience deploying and operating ML systems ...

selecting the right model for use case, cost, and performance constraints Hands‐on experience building Gen AI applications using modern frameworks such as LangChain, LangGraph, LlamaIndex, and Hugging Face, including agentic and multi‐step workflows Proven experience designing and implementing Retrieval‐Augmented Generation (RAG) systems, including vector databases (pgvector, Pinecone ...

tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK* Hands-on experience with Generative and Agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ADK, or similar.* Ability to design and implement RAG pipelines, agentic workflows, MCP and integration with LLM APIs (OpenAI, Anthropic, Hugging ...

tool use/function calling, structured outputs, and model evaluation. Familiarity with tools or frameworks such as Git, REST APIs, SQL, Docker, LLM APIs, LangChain, LangGraph, LlamaIndex, or cloud AI services. Foundational understanding of responsible AI concepts, including data privacy, model limitations, human oversight, and safe AI deployment. Strong problem ...

prompts for production use cases including classification, summarisation, code generation, and autonomous decision-making. Experience designing and deploying agentic systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent — including multi-agent orchestration and tool-use patterns. Excellent engineering skills and strong understanding of Software Development Lifecycle , GitOps ...

Data Version Control Practical experience building LLM/GenAI applications, including prompt engineering and retrieval-augmented generation (RAG) Familiarity with LLMOps frameworks such as LangChain, LangSmith or LangGraph Understanding of model validation, evaluation techniques and production monitoring Experience working in cross-functional teams from problem definition through to delivery Strong ...

TensorFlow . Deep understanding of LLMs, Generative AI, prompt engineering, RAG architectures and vector databases . Experience with frameworks and tooling such as LangChain, LangGraph or similar open-source AI toolkits . Experience fine-tuning, evaluating, deploying and monitoring large-scale AI systems. Strong understanding of MLOps and/ ...

Llama, Mistral) and NLP workflows (BERT, topic modelling) for production environments. Agentic & Multi-Agent Systems: Design and orchestrate autonomous agentic workflows (using frameworks like LangChain, AutoGen, or CrewAI) that can reason, plan, and execute tasks across multiple tools. Production Engineering: Work collaboratively with Data Engineers to ensure model deployments ...

commonly Python) applied to AI/ML systems Semantic search, vector/embedding infrastructure, and RAG pipeline construction LLM orchestration and agentic frameworks (e.g. LangChain/LlamaIndex‐style tooling, multi‐agent patterns) Prompt engineering and systematic evaluation/guardrail tooling (hallucination detection, safety testing) LLMOps/MLOps — model versioning, deployment ...

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 ...

services, scalable inference infrastructure, and vector stores. Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents). Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with ...

code, not just scripts (OOP, async, packaging, testing) Generative AI & LLM development — prompt engineering, fine-tuning, RAG pipelines, context window management Agentic AI frameworks — LangChain, LangGraph, AutoGen, or similar; building multi-step autonomous workflows Machine Learning — model development, training, evaluation, and deployment APIs & backend development — FastAPI, REST APIs, microservices architecture ...