11 of 11 Remote/Hybrid Permanent Weaviate Jobs

Python development skills with experience building REST APIs, microservices, and scalable backend applications. Practical experience implementing RAG architectures using vector databases such as Pinecone, Weaviate, Chroma, Qdrant, or FAISS. Understanding of software engineering best practices including Git, CI/CD, testing, code reviews, and cloud platforms such as AWS, Azure ...

Azure, AWS or GCP, alongside CI/CD, Docker, Kubernetes and Infrastructure as Code. Experience with vector databases and search technologies such as Pinecone, Weaviate or Azure AI Search. Strong understanding of AI governance, security, privacy and responsible AI principles. Comfortable working in client-facing environments and communicating effectively with ...

help you with them: Experience with advanced LLM techniques: agents, tool use, and agentic workflows Experience with vector databases (Pinecone, Weaviate, pgvector) for RAG applications Experience with feature stores (Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with ...

well help you with them: Experience with advanced LLM techniques: agents, tool use, and agentic workflows Experience with vector databases (Pinecone, Weaviate, pgvector) for RAG applications Experience with feature stores (Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience ...

help you with them: Experience with advanced LLM techniques: agents, tool use, and agentic workflowsExperience with vector databases (Pinecone, Weaviate, pgvector) for RAG applicationsExperience with feature stores (Feast, AWS Feature Store)Experience with containerisation (Docker) and orchestration (Kubernetes, ECS)Familiarity with Infrastructure as Code (Terraform, CloudFormation)Experience with data processing ...

help you with them: Experience with advanced LLM techniques: agents, tool use, and agentic workflows Experience with vector databases (Pinecone, Weaviate, pgvector) for RAG applications Experience with feature stores (Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with ...

degree in Computer Science, Data Science, or related fieldNice to haveExperience with Azure AI Agent Service or Microsoft Agent FrameworkFamiliarity with vector databases (Pinecone, Weaviate, Qdrant, Milvus)Knowledge of AI safety techniques such as guardrails, bias mitigation, and model explainabilityUnderstanding of Intelligent Document Processing, data lineage, and distributed memory ...

Azure AI Foundry or Microsoft Agent FrameworkKnowledge of MCP and A2A protocols for agent and tool interoperabilityHands-on work with vector databases like Pinecone, Weaviate, Qdrant or pgvectorFamiliarity with distributed systems, workflow engines (Temporal, Airflow or Dagster) and event-driven architecturesExperience with open-source LLMs or Small Language Models ...

deployments, CI/CD, and MLOps tooling (MLFlow, Airflow)Nice to haveExperience with Microsoft Agent Framework, Azure AI Agent ServiceKnowledge of vector databases (Pinecone, Weaviate, Qdrant, Milvus)Familiarity with guardrail and AI safety techniques (output filtering, prompt injection defense)Experience in distributed systems, event-driven architectures, and workflow enginesPrior involvement ...

organizations. Preferred QualificationsFamiliarity with AI ecosystems such as LangGraph, Semantic Kernel, OpenAI, Azure OpenAI, or Anthropic, and/or vector stores such as Pinecone, Weaviate, OpenSearch, or PostgreSQL pgvector. Experience building AI-powered applications in regulated industries, including financial services or trading environments. Knowledge of enterprise architecture frameworks, governance models ...

move quickly while maintaining code quality, test coverage, and operational excellence. Preferred: Familiarity with AI/ML tools such as LangGraph, Haystack, Hugging Face, Weaviate, or similar ecosystems. Hands-on experience with Retrieval Augmented Generation applications, AI agents and systems built around them. Exposure to working with unstructured data (documents ...