9 of 9 LlamaIndex Jobs in the North of England

Azure, GCP) and modern data stack technologies. Technical Expertise: AI/GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure ...

Azure, GCP) and modern data stack technologies. Technical Expertise: AI/GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure ...

Azure, GCP) and modern data stack technologies. Technical Expertise: AI/GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure ...

agile, cross-functional delivery environments Previous contract or consulting experience in enterprise settings is highly desirable. Key Skills Python (essential) LLM frameworks (LangChain, LlamaIndex, Semantic Kernel) API integration and microservices development Cloud platforms (Azure, AWS, or GCP) Vector databases and embeddings Git, CI/CD, and DevOps practices Desirable Experience ...

systems and real-world applications. Key skills and experience include: Strong Python development experience Hands-on experience with LLMs and agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar) Understanding of prompt engineering, RAG pipelines, and tool-using AI systems Experience working with APIs, data pipelines, and cloud platforms (AWS, Azure ...

Python integrations, driving architecture, performance, and feature direction across: Orchestration Platforms: Apache Airflow, Dagster, Prefect Transformation Tools: dbt, SQLMesh AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications ClickHouse ...

Python integrations, driving architecture, performance, and feature direction across: Orchestration Platforms: Apache Airflow, Dagster, Prefect Transformation Tools: dbt, SQLMesh AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications ClickHouse ...

technical projects in a production environment. Practical experience integrating LLMs and AI APIs into real products, with a curiosity for emerging frameworks like LangChain, LlamaIndex, or RAG pipelines. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick ...

technical projects in a production environment. Practical experience integrating LLMs and AI APIs into real products, with a curiosity for emerging frameworks like LangChain, LlamaIndex, or RAG pipelines. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick ...