18 of 18 Permanent LangGraph Jobs in the North of England

development to model deployment, feature stores, model management and monitoring model management* Delivering solutions using the latest GenAI and Agentic Frameworks, such as ADK, Langgraph, Microsoft Agent Framework, Llamaindex and other* Translating AI use case requirements into data and AI architectures using the most suitable cloud services across hyperscalars* Leading ...

Hands‐on experience with LLM integration, RAG architectures, AI orchestration frameworks, and Agentic AI solutions. Experience with AI frameworks and tools such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent. #J-18808-Ljbffr ...

landscape of AI technologies. Requirements Experience AI Orchestration & Development: Expert-level experience building complex LLM‐powered systems and multi‐agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large ...

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 ...

serving and gateway infrastructure (e.g. vLLM, LiteLLM, managed endpoints), with routing, failover, and per-workload cost attribution• Agent orchestration and tool-calling frameworks (e.g. LangGraph or equivalent), including familiarity with the Model Context Protocol (MCP)• Evaluation engineering (golden datasets, regression gates in CI, LLM-judge calibration)• Guardrail and AI-observability ...

practices. Preferred Skills Experience with LLM integration, RAG, AI orchestration, or Agentic AI frameworks. Exposure to AI platforms such as Azure OpenAI, OpenAI, LangChain, LangGraph, or Semantic Kernel. Candidate Profile Strong engineering and problem-solving skills. Product engineering mindset with a focus on quality and scalability. Comfortable working within existing ...

production environments Hands‐on experience designing and deploying agentic AI solutions in a production environment — non‐negotiable Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent — at production depth, not tutorial level Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management ...

testing, automation, documentation, and continuous improvement. AI-Native Software Development Build production‐grade AI agents and agentic workflows using AWS Bedrock, Anthropic/Claude, LangGraph, CrewAI, or comparable technologies. Apply an AI‐first mindset to software development by incorporating AI‐assisted tools and automation into daily engineering practices. Identify manual ...

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 About Accenture Accenture ...

production environments Hands‐on experience designing and deploying agentic AI solutions in a production environment — non‐negotiable Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent — at production depth, not tutorial level Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management ...

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 ...

human‐in‐the‐loop workflows (e.g., RLHF) to enable continuous improvement. Familiarity with Model Context Protocol (MCP) for tool interoperability, plus Google ADK, LangGraph/LangChain for agent orchestration and multi‐agent patterns. Ray, Kubeflow, or similar frameworks. Experience embedding controls, audit evidence, and governance in regulated environments. Experience with ...

technical discipline. Strong analytical, problem-solving and communication skills. Desirable Experience Machine Learning model development and training. LLMs, transformers, RAG and Agentic AI. LangChain, LangGraph or similar AI orchestration frameworks. PyTorch, TensorFlow, Scikit-learn or Hugging Face. Vector databases, embeddings and model evaluation. NLP, Computer Vision or multimodal AI. Edge ...

Automation & AI Capabilities: Working knowledge of workflow automation tools like n8n, along with exposure to commercial AI platforms, APIs, or LLM applications (e.g. RAG, LangGraph). Data Governance Discipline: Solid understanding of security, data handling, and GDPR principles in an engineering setting. Communication & Mindset: Clear communication skills, an ability ...

with model governance, audit trails, release control, permissions, or safety‐sensitive AI workflows. Familiarity with OpenAI, Anthropic, Gemini, open‐source LLM/VLM stacks, LangGraph‐style orchestration, or similar agent frameworks. The candidate should understand enough vision and inspection context to collaborate well with ML and hardware specialists, while remaining ...

agent solutions Build RAG pipelines covering embeddings, retrieval and generation Work with OpenAI, Anthropic, Mistral, Llama and similar LLMs Use LangChain, LangGraph, CrewAI or similar AI frameworks Work with vector databases including Pinecone, Qdrant, ChromaDB and PGVector Take GenAI POCs into production and scale them Build APIs, microservices … experience Experience building APIs, microservices and backend applications Hands-on experience with LLMs, Generative AI and RAG Experience with AI frameworks such as LangChain, LangGraph or CrewAI Experience with vector databases and semantic search Experience with OpenAI, Anthropic, Mistral, Llama or similar Good software engineering, testing and Git practices Experience ...

agent solutions Build RAG pipelines covering embeddings, retrieval and generation Work with OpenAI, Anthropic, Mistral, Llama and similar LLMs Use LangChain, LangGraph, CrewAI or similar AI framework Work with vector databases including Pinecone, Qdrant, ChromaDB and PGVector Take GenAI POCs into production and scale them Build APIs, microservices … experience Experience building APIs, microservices and backend applications Hands-on experience with LLMs, Generative AI and RAG Experience with AI frameworks such as LangChain, LangGraph or CrewAI Experience with vector databases and semantic search Experience with OpenAI, Anthropic, Mistral, Llama or similar Good software engineering, testing and Git practices Experience ...

complex business workflows. Apply Prompt Engineering and Context Engineering techniques to optimise AI performance and accuracy. Implement AI solutions using frameworks such as LangChain , LangGraph , and MCP . Integrate AI services and enterprise platforms through REST APIs and cloud-native architectures. Deliver scalable, secure, and reliable solutions using Python … Generative AI (GenAI) , Large Language Models (LLMs) , Natural Language Processing (NLP) Prompt Engineering , Context Engineering AI Agents , Agentic AI , Multi-Agent Systems LangChain , LangGraph , Model Context Protocol (MCP) RAG , Embeddings , Vector Databases Python , SQL , REST APIs Git , CI/CD Cloud Platforms (Azure, AWS, or GCP) LLM & AI Agent Testing ...