LlamaIndex Experience with Docker and Kubernetes Fluent written and verbal communication skills in English Working knowledge of some Vector Databases such as OpenSearch, Qdrant, Weaviate, LanceDB, etc. - an advantage Working knowledge with Snowflake, BigQuery, and/or Databricks - an advantage GCP or Azure knowledge (DevOps/MLOps) - an advantage ML More ❯
NLP, and conversational AI (e.g., GPT, Claude, Mistral, LLaMA, etc.) Expertise with frameworks like LangChain, Hugging Face, OpenAI, RAG pipelines, and vector databases (e.g., Weaviate, Pinecone, Chroma) Solid knowledge of AI system architecture, including model serving, monitoring, and optimization Strong programming skills in Python, with experience building APIs and integrating More ❯
chatbots. Hands-on use of agent/RAG orchestration frameworks (LangChain, LangGraph, CrewAI, Autogen ). Working knowledge of vector stores (e.g. pgvector, Pinecone, OpenSearch, Weaviate ). Professional English and a product mindset focused on launching, measuring and iterating. Nice to have Fine-tuning or RLHF/DPO on open-source More ❯
we use it to power our analytics) OCR engines (we use AWS Textract, GDocAI, and we have used tesseractOCR in the past) Prompt Engineering Weaviate (we use it for RAG in LLM powered tasks and for hybrid searches) Kubernetes (we run Weaviate and other specific services on Kubernetes) CircleCI DataDog More ❯
