26 to 40 of 40 Weaviate Jobs

capabilities across the platform — from content generation to account intelligence and campaign automation. Design and implement RAG pipelines using vector databases like Qdrant or Weaviate for contextual awareness and retrieval. Build robust backend services in TypeScript to serve AI-driven features, including streaming, tool use, and human-in-the-loop ...

NoSQL (MongoDB/DynamoDB) Experience with CI/CD, microservices, TDD/BDD. Knowledge of secure system design. Desirable (AI & Data) Vector DBs: Milvus, Weaviate, Pinecone Data orchestration: Airflow, Prefect, Dagster Search: ElasticSearch/OpenSearch AI frameworks: LangChain, Hugging Face MLOps: MLflow, Kubeflow If you are looking for an opportunity ...

CrewAI) in production. Strong Python engineering skills with solid testing, optimisation, CI/CD, and code quality; Experience implementing and scaling vector databases (Pinecone, Weaviate, Milvus) for retrieval and reasoning workloads. Deep expertise in cloud‐native AI engineering on AWS, with Azure knowledge and ability to design distributed, fault‐tolerant ...

/APls. Experience with at least one: LangChain/LangGraph, Llamalndex, Semantic Kernel or equivalent frameworks. Experience with vector databases and search (e.g., Pinecone, Weaviate, Milvus, OpenSearch/Elastic, ) Experience deploying services in cloud environments (AWS/Azure/GP) with basic DevOps practices Strong understanding of security and privacy ...

/APIs. Experience with at least one: LangChain/LangGraph, Llamalndex, Semantic Kernel or equivalent frameworks. Experience with vector databases and search (e.g., Pinecone, Weaviate, Milvus, OpenSearch/Elastic, pgvector) Experience deploying services in cloud environments (AWS/Azure/GCP) with basic DevOps practices Strong understanding of security ...

scalability and cost efficiency Data Engineering Management Design and maintain data pipelines for structured and unstructured data Work with vector databases eg Pinecone Milvus Weaviate for semantic search and embeddings Ensure data quality governance and compliance Deployment MLOps Deploy models using Docker Kubernetes and cloud native services AWS Azure … AIML Frameworks Langchain Hugging Face LlamaIndex Cloud Platforms AWS Sagemaker Azure ML GCP Vertex AI Databases SQL/NoSQL Vector DBs Pinecone Milvus Weaviate Deployment Docker Kubernetes Helm MLOps Tools MLFlow Kubeflow Airflow Visualization Power BI Tableau Matplotlib Plotly Preferred Qualifications Experience with LLM finetuning and prompt engineering Knowledge ...

Tools Backend: .NET/C# (or similar), REST APIs AI/ML: OpenAI, Azure AI, or similar LLM platforms RAG: Vector databases (e.g. Pinecone, Weaviate, or similar) Cloud: Azure, AWS, or GCP Frontend collaboration: any modern JS framework (desirable) DevOps: CI/CD pipelines, containerisation What We’re Looking ...

deployed roles Strong Python Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.) Deep familiarity with RAG methodologies, embeddings, and vector databases (Pinecone, Weaviate, pgvector) Robust API integration experience, including working with third-party datasets, web APIs, or scrapers A product mindset, enjoys crafting scrappy prototypes that evolve into ...

Demonstrated experience building applications that incorporate Generative AI Proficiency with GenAI tools and frameworks: prompt engineering, Retrieval-Augmented Generation (RAG), vector databases (e.g., Pinecone, Weaviate), agentic platforms (e.g., LangGraph, CrewAI), LLM evals, and guardrails Experience with front-end technologies like JavaScript, HTML, CSS, and modern frameworks Strong back-end skills ...

deployed roles Strong Python Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.) Deep familiarity with RAG methodologies, embeddings, and vector databases (Pinecone, Weaviate, pgvector) Robust API integration experience, including working with third-party datasets, web APIs, or scrapers A product mindset, enjoys crafting scrappy prototypes that evolve into ...

growth and advancement Requirements: Required Qualifications Technical Skills Experience designing and implementing RAG pipelines in production Experience with vector databases (e.g., pgvector, Qdrant, Pinecone, Weaviate) Strong understanding of embeddings and semantic search Experience fine-tuning LLMs (LoRA/QLoRA) using Hugging Face or similar Proficiency in Python and modern backend ...

Django, Flask, Node.js/Express). - Experience integrating AI services or LLMs (e.g., OpenAI, Cohere, Anthropic) and working with embeddings, vector databases (e.g., Pinecone, Weaviate), or retrieval-based architectures. - Familiarity with cloud platforms (AWS, GCP, Azure) and basic DevOps practices (CI/CD, Docker); basic containerization and orchestration knowledge. - Knowledge … Azure/GCP, Docker, Kubernetes, CI/CD (GitHub Actions, GitLab CI) - Databases: PostgreSQL, MongoDB, Redis - AI/ML Tools: OpenAI API, Pinecone/Weaviate, MLflow, PyTorch/TensorFlow (nice-to-have) - Observability: Prometheus, Grafana, ELK/EFK stack Nice-to-Have - Mendix and JAVA experience - Production experience with ...

agents. Deep understanding of agentic AI principles, reinforcement learning, and cognitive architectures. Proficiency with Python and AI frameworks (LangChain, OpenAI APIs, Hugging Face, Pinecone, Weaviate, etc.). Experience building autonomous systems or tools that use memory, reasoning, or planning. A hacker mentality: rapid prototyping, experimentation, and staying on the frontier ...

APIs Experience with data pipelines, ETL or integration Nice to have: Experience with retrieval-augmented generation (RAG) pipelines Familiarity with vector databases (Qdrant, Pinecone, Weaviate or equivalent) Experience with workflow automation platforms (n8n, Airflow or equivalent) Experience with AWS services (S3, Bedrock or other AI services) Understanding of embeddings, chunking ...

Claude. • Build AI agents and orchestration workflows using LangChain or Strands. • Implement Retrieval Augmented Generation (RAG) solutions using vector databases (pgvector, Pinecone, Weaviate). • Perform data analysis, preparation, and curation to build high-quality datasets for AI and knowledge retrieval systems. • Design and implement document ingestion pipelines for enterprise knowledge … Data & AI Pipelines • Data analysis, data preparation, and data curation • Document ingestion and knowledge base creation • Embeddings and semantic search Vector Databases • pgvector • Pinecone • Weaviate Cloud & Platforms • AWS (Bedrock, ECS Fargate, S3, Guardrails) Databases • PostgreSQL • DynamoDB Security & Identity • Ping Identity • OAuth2/OIDC • SSO, Authentication & Authorization DevOps • Jenkins • GitLab • GitOps ...