5 of 5 Contract LlamaIndex Jobs

embeddings, semantic search, text classification, and summarisation. Strong understanding of Large Language Models (LLMs) and Generative AI (GAI), with hands-on experience in LangGraph, LlamaIndex, OpenAI APIs, and Model Context Protocol (MCP). Knowledge of statistics, probability, and model evaluation techniques. experience with Retrieval-Augmented Generation (RAG) and 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 ...

applications using Python , TypeScript , and modern front end frameworks Build intuitive, component based UIs with Tailwind CSS Integrate LLMs and AI capabilities via LangChain, LlamaIndex , or similar frameworks Design and maintain database schemas using Supabase or other relational technologies Manage code through GitHub with professional version control practices Deploy ...

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 ...