101 to 125 of 243 LangGraph Jobs in the UK

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 ...

communicating trade-offs clearly. A pragmatic, low-ego style suited to a distributed, async-first team. Bonus Points: Experience with agent frameworks such as LangGraph, CrewAI, Claude Agent SDK, or similar. Agentic retrieval experience, including knowledge representation. Practical Elasticsearch experience. Additional Information - We Take Care of Our People ...

driven architectures Experience with RAG, vector databases and modern AI frameworks Exposure to AWS, Azure or GCP Desirable Neo4j or graph database experience LangChain, LangGraph or LlamaIndex Databricks, Snowflake or modern data platforms Agentic AI and AI platform engineering #J-18808-Ljbffr ...

Python development Hands‐on Agentic AI/AI Agent development LLMs/Generative AI RAG (Retrieval-Augmented Generation) OpenAI/GPT Anthropic Claude LangChain, LangGraph, AutoGen, CrewAI or similar FastAPI/API development AI orchestration, tool calling and guardrails Strong Investment Banking/Capital Markets experience Excellent communication and stakeholder ...

/LLM security experience. Exposure to technologies such as GCP/Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Anthropic Claude or LangChain/LangGraph would be particularly relevant. This is a cutting-edge opportunity which will shape how AI is securely adopted across a large-scale global organisation. Hybrid ...

/LLM security experience. Exposure to technologies such as GCP/Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Anthropic Claude or LangChain/LangGraph would be particularly relevant. This is a cutting-edge opportunity which will shape how AI is securely adopted across a large-scale global organisation. Hybrid ...

/LLM security experience. Exposure to technologies such as GCP/Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Anthropic Claude or LangChain/LangGraph would be particularly relevant. This is a cutting-edge opportunity which will shape how AI is securely adopted across a large-scale global organisation. Hybrid ...

experience leading technical teams and complex transformation programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph Hands‐on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms (Azure, AWS or GCP) Experience deploying AI solutions within government, defence, healthcare ...

experience leading technical teams and complex transformation programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph Hands-on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms (Azure, AWS or GCP) Experience deploying AI solutions within government, defence, healthcare ...

Experience building microservices and APIs Experience with elastic compute, NoSQL databases, and messaging queues Proficiency working with large language models and building agents with LangGraph Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages, including containerization Knowledge of agent-to-agent ...

applications, including LLM orchestration, retrieval augmented generation, tool and function calling, MCP, memory, evaluation and agent harnesses, in Python or TypeScript. Demonstrable knowledge of Langgraph agentic development frameworks. A track record of implementing or evolving engineering standards, DevSecOps practice and a secure development lifecycle, and integrating with a central ...

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 working ...

automation capabilities. Required Qualifications, Capabilities, and Skills: Formal training or certification in software engineering concepts. Familiarity with agentic workflows and frameworks (e.g., LangChain, LangGraph, Auto-GPT). Advanced proficiency in Java or Python for software system development; strong grasp of software engineering best practices, system design, application development, testing ...

raise the engineering bar. Champion best practices for governance, observability, and lifecycle management of AI systems. Evaluate and introduce emerging frameworks, including Autogen , LangGraph , and other agentic ecosystems. Partner with senior stakeholders to align AI strategy with business goals. Drive the evolution of our internal platform ( Pathway ) to enable faster ...

years in AI architecture or AI engineering, ideally 10+, with a track record of production deployments. Deep expertise in LLMs, agent frameworks (e.g. LangGraph, AutoGen, Semantic Kernel), API design, and orchestration. Proven MLOps/LLMOps capability — CI/CD for models, monitoring, evaluation, and cost optimisation. Hands‐on software engineering ...

experience: Demonstrated experience with AI Development Life Cycle practices and methodology. Orchestration: Production, hands-on experience with an agentic framework such as LangGraph, plus familiarity with MCP-based tool orchestration. Exposure to AutoGen, LlamaIndex, or CrewAI is a plus. Production Python engineering: Clean, modular, testable, maintainable code — you care about ...

build scalable, production-ready code. Agentic AI Experience: Proven, hands‐on experience building multi‐agent workflows or complex LLM orchestration pipelines (e.g. LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen). Multimodal AI Knowledge: Experience working with Vision‐Language Models (VLMs) and an understanding of how to process video, images, and audio ...

beneficial but not required. Exposure to generative AI application development, including LLM APIs, agentic workflows, retrieval, vector databases, or agent frameworks such as LangChain, LangGraph, or AutoGen. Familiarity with AI‐assisted coding tools such as Claude Code, Codex, or similar, with the ability to validate and understand AI-generated code. ...

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 ...

Experience AI governance and responsible AI frameworks. MLOps and LLMOps tools and methodologies. Prompt engineering and model fine-tuning. Agentic AI frameworks such as LangGraph, AutoGen, or CrewAI. AI orchestration platforms such as n8n or similar technologies. Knowledge graph technologies. Data lake and analytics platforms. Experience supporting organisation-wide ...

Platform : Power Apps (Canvas/Model‐driven), Power Automate Cloud/Desktop, Dataverse ; Dynamics 365 integration. Agentic AI : design LLM agents with LangChain/LangGraph/AutoGen ; retrieval strategies; vector search . Programming: Python and/or .NET; SQL ; REST/Graph; eventing; strong integration patterns. CI/ ...

security Practical cloud native experience (AWS preferred), including containers and Kubernetes Preferred Qualifications, Capabilities, and Skills: Experience with agent frameworks (e.g., Google ADK, LangGraph) and agent protocols such as MCP, A2A, or AG-UI Experience with Databricks, MLflow, and Delta Lake or Apache Iceberg Exposure to model serving on Kubernetes ...

sidecar patterns, with hands-on experience applying security at multiple layers Preferred Qualifications, Capabilities, and Skills: Experience with agent frameworks and protocols (Google ADK, LangGraph, MCP, A2A, AG-UI) Experience with Databricks, MLflow, Spark, and Delta Lake or Apache Iceberg Experience serving models on Kubernetes, including GPU workloads and fine ...

influence across organizational boundaries and communicate with executive audiences Preferred qualifications, capabilities, and skills Experience with agent frameworks and protocols (MCP, A2A, Google ADK, LangGraph) and agent evaluation practices Experience with Databricks, MLflow, and model serving on Kubernetes in AWS Experience delivering AI systems through model risk management or equivalent ...

codebase Fluent or willing to learn Go Hands-on experience building and operating production AI applications using LLMs and agentic frameworks (e.g., RAG, MCP, LangGraph or similar), including tool integration, prompt design, evaluation, guardrails, and token/cost optimization. Demonstrate ability to create reliable agents (prompting, evaluation, guardrails, understanding ...