Vector Database Job Jobs Near Me

Knowledge of RAG, Vector Databases, Embeddings, Prompt Engineering, and AI Agents . * Experience integrating LLMs such as OpenAI, Gemini, Claude, Llama, or similar models . * Strong understanding of ...

Knowledge of RAG, Vector Databases, Embeddings, Prompt Engineering, and AI Agents. Experience integrating LLMs such as OpenAI, Gemini, Claude, Llama, or similar models. Strong understanding of REST ...

Experience building AI-powered applications using vector databases (Pinecone, ChromaDB, FAISS, Weaviate, etc.). * Strong knowledge of prompt engineering, embeddings, model evaluation, and fine-tuning.

Experience building AI-powered applications using vector databases (Pinecone, ChromaDB, FAISS, Weaviate, etc.). * Strong knowledge of prompt engineering, embeddings, model evaluation, and fine-tuning.

... Vector databases and semantic search. Knowledge of AI security, prompt engineering, hallucination mitigation and responsible AI practices.

Vector Databases (Pinecone, Weaviate, Chroma, Milvus, pgvector) * RAG architecture * FastAPI * React * Kubernetes * Terraform * AI evaluation frameworks * Observability tools * Knowledge of secure AI ...

Vector Databases (Pinecone, Weaviate, Chroma, Milvus, pgvector) * RAG architecture * FastAPI * React * Kubernetes * Terraform * AI evaluation frameworks * Observability tools * Knowledge of secure AI ...

Build RAG pipelines using vector databases and enterprise data sources * Build machine learning models that automate their training, validation, monitoring, and retraining * Develop APIs and services ...

Minimum 3 years building and operating applied ML/LLM systems in production (RAG pipelines, embeddings, fine-tuning/specialization, vector databases, model serving). * Proficiency in Python and at ...

Minimum 3 years building and operating applied ML/LLM systems in production (RAG pipelines, embeddings, fine-tuning/specialization, vector databases, model serving). * Proficiency in Python and at ...

Minimum 3 years building and operating applied ML/LLM systems in production (RAG pipelines, embeddings, fine-tuning/specialization, vector databases, model serving). * Proficiency in Python and at ...

Minimum 3 years building and operating applied ML/LLM systems in production (RAG pipelines, embeddings, fine-tuning/specialization, vector databases, model serving). * Proficiency in Python and at ...

Familiarity with Graph Search and vector databases . * Hands-on experience developing applications using Large Language Models (LLMs) . * Monitoring and observability tools such as New Relic

Familiarity with Graph Search and vector databases . * Hands-on experience developing applications using Large Language Models (LLMs) . * Monitoring and observability tools such as New Relic

Familiarity with Graph Search and vector databases . * Hands-on experience developing applications using Large Language Models (LLMs) . * Monitoring and observability tools such as New Relic

Experience with Retrieval-Augmented Generation (RAG), vector databases, embeddings, and semantic search. * Experience with prompt engineering, prompt evaluation, and LLM performance optimization.

... vector databases, APIs, microservices, and distributed systems. * 10+ years of experience with Kubernetes, Docker, CI/CD platforms, MLOps, AIOps, and Infrastructure as Code in production environments ...

Experience with Retrieval-Augmented Generation (RAG), vector databases, embeddings, and semantic search. * Experience with prompt engineering, prompt evaluation, and LLM performance optimization.

Experience with Retrieval-Augmented Generation (RAG), vector databases, embeddings, and semantic search. * Experience with prompt engineering, prompt evaluation, and LLM performance optimization.

Experience with Retrieval-Augmented Generation (RAG), vector databases, embeddings, and semantic search. * Experience with prompt engineering, prompt evaluation, and LLM performance optimization.