1 to 25 of 180 Permanent Weaviate Jobs

Primary Skills Strong Python programming. Generative AI and LLM development. Prompt Engineering . RAG (Retrieval-Augmented Generation) . Vector databases such as Pinecone, FAISS, Weaviate, or Chroma . LLM frameworks such as LangChain or LlamaIndex . Experience with OpenAI, Azure OpenAI, Gemini, Claude, or open-source LLMs . Machine Learning ...

reliable, secure, and consistent operation. Retrieval‐Augmented Generation (RAG) & Knowledge Architecture – expertise in RAG and knowledge‐grounded systems, including chunking, embeddings, vector databases (Pinecone, Weaviate, Chroma, pgvector, FAISS), hybrid search and retrieval evaluation. Familiarity with GraphRAG and agentic RAG. LLMOps, Evaluation & Responsible AI – operationalizing LLM and agentic systems at scale ...

/unsupervised ML and AI observability•Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and vector databases (Pinecone, Weaviate, FAISS).•Experience in designing and scaling GenAI chatbots.•Experience in Agentic AI solutions. Good knowledge of Agentic AI frameworks (LangGraph, AutoGen, CrewAI) and orchestration ...

Strong problem-solving and communication skills. Preferred Qualifications Experience with CrewAI, AutoGen, Semantic Kernel, or similar frameworks. Experience with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or FAISS. Experience implementing RAG architectures. Familiarity with LangSmith, Weights & Biases, Arize AI, or other LLM observability platforms. Experience with Docker, Kubernetes ...

Strong problem-solving and communication skills. Preferred Qualifications Experience with CrewAI, AutoGen, Semantic Kernel, or similar frameworks. Experience with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or FAISS. Experience implementing RAG architectures. Familiarity with LangSmith, Weights & Biases, Arize AI, or other LLM observability platforms. Experience with Docker, Kubernetes ...

. Proven experience with LLMs (OpenAI, Anthropic, Meta, Mistral, etc.) and frameworks like LangChain or LlamaIndex. Strong knowledge of RAG architectures, vector databases (Pinecone, Weaviate, Chroma, Milvus, Supabase), and semantic search. Experience with TTS/STT systems (OpenAI Whisper, Coqui TTS, ElevenLabs). Hands-on with generative image models ...

/CD practices. Nice to Have: Experience fine-tuning open-source LLMs. Knowledge of Hugging Face Transformers. Experience with vector databases such as Pinecone, Weaviate, or Qdrant. Experience deploying models using Kubernetes. Knowledge of MLOps and model monitoring. Experience with computer vision or NLP. Salary ...

Experience working with open-source AI tools and LLM. Background in AI ethics, fairness, compliance, or regulatory frameworks. Familiarity with Salesforce, vector databases (Pinecone, Weaviate, FAISS), graph-based reasoning, or knowledge graphs. Experience in property maintenance, home services, or customer service automation (not required, but a bonus). Location ...

hyperscaler ML platform (SageMaker, Azure ML, or Vertex AI).Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain, LangGraph, Semantic Kernel).Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed ...

hyperscaler ML platform (SageMaker, Azure ML, or Vertex AI).Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain, LangGraph, Semantic Kernel).Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed ...

ability to explain technical concepts to both technical and non-technical stakeholders. Desirable Experience AI agents and agentic workflows. Vector databases such as Pinecone, Weaviate, or pgvector. Feature stores including Feast or AWS Feature Store. Docker, Kubernetes, or Amazon ECS. Infrastructure as Code using Terraform or CloudFormation. Big data processing ...

approaches are more suitable Desirable Experience Advanced LLM techniques, including agents, tool use and agentic workflows Experience with vector databases (e.g. Pinecone, Weaviate, pgvector) Feature store technologies such as Feast or AWS Feature Store Containerisation and orchestration using Docker, Kubernetes or ECS Infrastructure as Code using Terraform or CloudFormation Large ...

infrastructure, including related tools, design patterns, best practices etc.* Experience with vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate) and information retrieval systems and methods.* Familiarity with media content (video, audio) ML pipelines.* Proficiency in Python and common AI/ML libraries (e.g., PyTorch, Hugging Face Transformers, LangChain) and cloud frameworks ...

effectively with technical and non-technical stakeholders.DesirableExperience with workflow automation platforms such as n8n, Power Automate, Dify or similar.Knowledge of vector databases including Pinecone, Weaviate, Chroma, FAISS or Milvus.Experience building Retrieval Augmented Generation (RAG) solutions.Understanding of AI governance, Responsible AI and AI security principles.Exposure to MLOps, model deployment and monitoring ...

effectively with technical and non-technical stakeholders.DesirableExperience with workflow automation platforms such as n8n, Power Automate, Dify or similar.Knowledge of vector databases including Pinecone, Weaviate, Chroma, FAISS or Milvus.Experience building Retrieval Augmented Generation (RAG) solutions.Understanding of AI governance, Responsible AI and AI security principles.Exposure to MLOps, model deployment and monitoring ...

recognising when non-AI approaches are more suitableDesirable ExperienceAdvanced LLM techniques, including agents, tool use and agentic workflowsExperience with vector databases (e.g. Pinecone, Weaviate, pgvector)Feature store technologies such as Feast or AWS Feature StoreContainerisation and orchestration using Docker, Kubernetes or ECSInfrastructure as Code using Terraform or CloudFormationLarge-scale data ...

databases, embeddings, and AI orchestration platforms. Hands-on experience with technologies such as OpenAI, Azure AI, Anthropic, Hugging Face, LangChain, LangGraph, Semantic Kernel, Pinecone, Weaviate, or equivalent platforms. Solid understanding of software architecture, cloud-native development, microservices, and scalable system design. Experience building and operating production applications in cloud environments. ...

databases, embeddings, and AI orchestration platforms. Hands-on experience with technologies such as OpenAI, Azure AI, Anthropic, Hugging Face, LangChain, LangGraph, Semantic Kernel, Pinecone, Weaviate, or equivalent platforms. Solid understanding of software architecture, cloud-native development, microservices, and scalable system design. Experience building and operating production applications in cloud environments. ...

skills with the ability to explain technical concepts to both technical and non-technical stakeholders.Desirable ExperienceAI agents and agentic workflows.Vector databases such as Pinecone, Weaviate, or pgvector.Feature stores including Feast or AWS Feature Store.Docker, Kubernetes, or Amazon ECS.Infrastructure as Code using Terraform or CloudFormation.Big data processing technologies such as Spark ...

manage infrastructure across AWS, GCP, or Azure using Docker and modern hosting platforms (Vercel, Netlify) Work with vector databases and data systems (PostgreSQL, Pinecone, Weaviate, FAISS) Collaborate with stakeholders and communicate complex concepts clearly Document solutions and enable clean handoff for internal teams Engagement Brief This consulting engagement is focused ...

manage infrastructure across AWS, GCP, or Azure using Docker and modern hosting platforms (Vercel, Netlify) Work with vector databases and data systems (PostgreSQL, Pinecone, Weaviate, FAISS) Collaborate with stakeholders and communicate complex concepts clearly Document solutions and enable clean handoff for internal teams Engagement Brief This consulting engagement is focused ...

manage infrastructure across AWS, GCP, or Azure using Docker and modern hosting platforms (Vercel, Netlify) Work with vector databases and data systems (PostgreSQL, Pinecone, Weaviate, FAISS) Collaborate with stakeholders and communicate complex concepts clearly Document solutions and enable clean handoff for internal teams Engagement Brief This consulting engagement is focused ...

integrating with enterprise systems (REST, Python, SQL, GraphQL, Webhooks etc). Solid understanding of LLMs, Prompt engineering/tuning, Vector DBs (AstraDB, Pinecone, Weaviate etc), RAG pipelines (LlamaIndex, Haystack) and Agent/Workflow Orchestration (LangChain, LangGraph, CrewAI) Knowledge of SLM Finetuning and Distillation is big advantage. Experience and knowledge ...

ideally in a regulated environment. Preferred qualifications:Background in financial services or another regulated enterprise environment. Experience with vector databases (for example pgvector, Pinecone, Weaviate, or Chroma) and agent or orchestration frameworks (for example LangChain, LlamaIndex, or the Model Context Protocol). Experience with MLOps/LLMOps tooling such ...

clients to enable tool connectivity, enterprise system integration, agent-to-tool communication, and reusable AI workflows. Build and manage vector database solutions using Pinecone, Weaviate, Milvus, FAISS, Chroma, OpenSearch Vector Engine, Azure AI Search, Vertex AI Vector Search, or pgvector. Deploy and optimize LLM/VLLM inference stacks using vLLM … experience with RAG architecture , including chunking strategies, embeddings, vector search, hybrid search, reranking, metadata filtering, and evaluation. Experience with vector databases such as Pinecone, Weaviate, Milvus, FAISS, Chroma, Azure AI Search, OpenSearch, Vertex AI Vector Search, or pgvector. Knowledge of Graph RAG/knowledge graph solutions using Neo4j, Neptune, TigerGraph ...