Vector Databases Jobs in Denver, CO (NOW HIRING)

Develop vector database integrations. * Support LLM training and fine-tuning initiatives. * Optimize data quality for AI applications. * Collaborate with Data Scientists and AI Engineers. Required ...

Familiarity with Vector Databases (Pinecone, Weaviate, FAISS, Milvus, etc.). * Knowledge of ML pipelines, APIs, and prompt engineering. Excellent problem-solving, communication, and collaboration ...

... vector databases for embedding-based retrieval supporting ML and RAG workflows. • Build query and traversal patterns that enable scientists and AI agents to ask relational questions across the ...

... vector databases for embedding-based retrieval supporting ML and RAG workflows. • Build query and traversal patterns that enable scientists and AI agents to ask relational questions across the ...

Build and maintain vector database integrations. * Develop data ingestion and preprocessing pipelines. * Support deployment of AI workloads in cloud and self-hosted environments. * Collaborate on ...

... vector databases Pinecone, FAISS, etc.MLOps SystemsMLflow, model registry, CICD pipelines Experiment tracking and automated testing Deployment patterns batch real-time inference Data APIs SQL ...

Utilize Azure AI/ML platform, vector databases, and related tools for the deployment and monitoring of AI features. The Team Deloitte Tax LLP's Tax Transformation Office (TTO) is responsible for the ...

... vector databases Pinecone, FAISS, etc.MLOps SystemsMLflow, model registry, CICD pipelines Experiment tracking and automated testing Deployment patterns batch real-time inference Data APIs SQL ...

Optimize Retrieval-Augmented Generation (RAG) pipelines and vector database infrastructure to give agents instantaneous access to thousands of internal knowledge bases, equipment manuals, and ...

Integrate vector databases, distributed knowledge systems, and in-memory state management (e.g., Redis) for context-aware agent workflows. Responsible AI & Performance Optimization * Apply ...

Working knowledge of RAG architectures, embeddings, vector databases, and the trade-offs between retrieval and context-caching approaches. * Fluency with Claude Code or similar AI-augmented ...

Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g. Weaviate) * Build custom applications with LLM frameworks such as LangChain, DSPy * Deploy ...

Working knowledge of RAG architectures, embeddings, vector databases, and the trade-offs between retrieval and context-caching approaches. * Fluency with Claude Code or similar AI-augmented ...

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 ...

Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g. Weaviate) * Build custom applications with LLM frameworks such as LangChain, DSPy * Deploy ...

Deliver high-quality RAG pipelines utilizing Milvus vector databases to improve data retrieval accuracy and reduce model hallucinations * Automate Tier-1 and Tier-2 incident resolutions by developing ...

Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g. Weaviate) * Build custom applications with LLM frameworks such as LangChain, DSPy * Deploy ...

Deliver high-quality RAG pipelines utilizing Milvus vector databases to improve data retrieval accuracy and reduce model hallucinations * Automate Tier-1 and Tier-2 incident resolutions by developing ...

Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g. Weaviate) * Build custom applications with LLM frameworks such as LangChain, DSPy * Deploy ...

Working knowledge of RAG architectures, embeddings, vector databases, and the trade-offs between retrieval and context-caching approaches. * Fluency with Claude Code or similar AI-augmented ...