10 of 10 LlamaIndex Jobs in the UK excluding London

Develop AI Applications & Agentic Systems Architect, build and optimise production-grade Generative AI and agentic applications using frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, n8n, Pydantic AI or custom orchestration layers integrating with LLMs such as GPT, Claude, Gemini as well as self-hosted LLMs along with MCP integrations ...

you. What Youll Do Architect Agentic & GenAI Systems Design, build, and optimise production-grade Generative AI applications using frameworks such as LangChain, LangGraph, and LlamaIndex . Integrate with leading LLMs including GPT, Claude, Gemini , as well as self-hosted and fine-tuned models where required. Define patterns for agent orchestration ...

with enterprise systems, APIs, and data sources for autoremediation. Develop scalable, reliable, and secure AI agent architectures. Stay current with GenAI agent frameworks (LangChain, LlamaIndex, Autogen) and IT automation trends. Build intuitive frontends (Next.js, React, TypeScript) and backend services (Python). Provide technical guidance on agentic AI principles and best ...

solutions using LLMs (e.g. OpenAI, Llama, Mistral, Claude) and vector databases (Pinecone, Weaviate, FAISS, etc.) Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph Strong Python expertise with AI/ML frameworks (PyTorch, TensorFlow) and NLP libraries Experience deploying AI solutions ...

Hands-on experience with LLMs, RAG, vector databases, and GenAI frameworks Experience deploying solutions on cloud platforms (AWS, Azure, or GCP) Familiarity with LangChain, LlamaIndex, or agentic frameworks is highly valuable Strong grounding in software engineering best practices (testing, versioning, CI/CD, scalability) Mindset & Behaviours: Seek ownership, not just ...

strong next step. What Youll Be Doing Build Generative AI Solutions Develop and enhance GenAI applications using frameworks such as LangChain, LangGraph, or LlamaIndex , integrating with LLMs including GPT, Claude, and Gemini . Implement RAG Pipelines Support the design and delivery of Retrieval-Augmented Generation (RAG) solutions using vector databases ...

Model Deployment: Flask, FastAPI, MLflow Model Serving: Triton Inference Server, Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral APIs LLM Frameworks: LangChain, LlamaIndex for building LLM-powered applications Vector Databases: FAISS, Weaviate, Pinecone, Qdrant (Nice-to-Have) Retrieval-Augmented Generation (RAG): Experience building hybrid systems combining LLMs with ...

experience with AI Workbenches on major cloud platforms, such as Gemini Enterprise, Azure AI Agent Familiarity with GenAI frameworks and libraries like LangChain, LlamaIndex, or Hugging Face. A solid understanding of generative AI concepts, models, and frameworks. Knowledge of the wider commerce technology stack, including PXM, CMS, and CDP platforms. ...

What you’ll work on Building Agentic AI workflows and automation Designing RAG pipelines for insurance data Developing LLM-powered tools using Python , LangChain , LlamaIndex , and vector databases Evaluating, fine-tuning, and integrating LLMs (OpenAI/Anthropic/Mistral) Collaborating with Data Science & Engineering teams to productionise models What ...

full lifecycle (discovery ? prototyping ? hardening ? production ? monitoring ? continuous improvement) of GenAI and agentic systems. LLM orchestration & tooling: Design and implement workflows using LangChain, LangGraph, LlamaIndex, Semantic Kernel or similar. Optimize prompt strategies, memory, tools, and policies. RAG & vector search: Architect robust RAG pipelines with vector DBs (Pinecone, Chroma, Weaviate, pgvector … system design and scalable architecture skills for AI-first applications and platforms. Hands-on expertise with LLM orchestration frameworks (e.g.,LangChain/LangGraph/LlamaIndex/Semantic Kernel). Proven experience with RAG and vector databases (e.g., Pinecone, Chroma, Weaviate, pgvector). Proficiency in Python (primary) and at least ...