Vector Databases Jobs in Glendale, AZ (NOW HIRING)

Practical knowledge of model orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI), Familiarity with vector databases Experience with cloud platforms (AWS, Azure AI, Google Cloud Vertex AI ...

Experience designing RAG pipelines and working with vector databases at production scale * Experience implementing agentic workflows or function‑calling integrations with LLMs * Experience working ...

Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases. * Strong understanding of anomaly detection, classification ...

Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases. * Strong understanding of anomaly detection, classification ...

Evaluate and select appropriate AI frameworks, LLM providers (OpenAI, Anthropic, Azure AI Foundry, etc.), and vector databases for use-case fit. * Establish best practices for model lifecycle ...

LangChain, LlamaIndex, Semantic Kernel), embeddings, and vector databases. * Experience building Agentic AI systems with autonomous planning, tool/function calling, memory management, RAG, and multi ...

Oracle, MySQL, SQLAlchemy Vector Databases: FAISS, Pinecone, Weaviate, Qdrant LLMOps / MLOps (Good to Have): MLflow, Weights & Biases, BentoML, Airflow

... vector databases • Ability to integrate AI capabilities into enterprise applications securely and responsibly • Good Skills to have: LangChain, Prompt Engineering, Semantic Search Roles ...

Exposure to APIs, cloud platforms (AWS, Azure, GCP), Docker, Kubernetes, and vector databases * MLOps/data tools: MLflow, Kubeflow, Argo Workflows, Kafka, Spark, or NiFi Preferred Skills * Flask ...

... vector databases, and observability systems for adaptive agent behavior. • Ensure reliability, performance, and maintainability through rigorous testing, type safety (mypy/pydantic), and production ...

Proficiency in vector databases (Pinecone, Weaviate, Chroma, Milvus) and building Retrieval-Augmented Generation (RAG) or GraphRAG pipelines. * Agentic Workflows: Designing multi-agent systems, tool ...

Experience with Vector Databases (e.g., Pinecone, Weaviate, or pgvector)

Experience designing and implementing vector databases, vector search, embeddings, and semantic retrieval solutions. * Experience using AI-assisted software development tools to improve software ...

Experience designing and implementing vector databases, vector search, embeddings, and semantic retrieval solutions. * Experience using AI-assisted software development tools to improve software ...

RAG pipelines, vector databases, and AI evaluation tooling * Kafka or event-driven architectures * Experience contributing to shared AI platforms or infrastructure * Open-source contributions in AI ...

Hands-on with GenAI and agentic AI (LLMs, diffusion models, RAG, tool use/agents); familiarity with OpenAI Azure, Hugging Face, LangChain/LangGraph, ADK, vector databases. Experience with MLOps ...

... and Vector Databases • Expertise in one or more AI frameworks, such as LangChain. • Knowledge of AI concepts, such as machine learning, deep learning, natural language processing ...

Experience implementing RAG architectures, vector databases, and LLM lifecycle management (prompt engineering, context engineering, fine-tuning, evaluation, monitoring) * Strong programming skills in ...

... vector databases. • Fward Deployed AI Engineering • Partner with business stakeholders to identify AI use cases and rapidly develop production-ready AI applications. • Design, develop, and ...

Experience with LLMs, LangChain/LangGraph, and vector databases Salary Range - $170k-220k depending on capability level and industry experience svg]:px-3 text-sm tracking-[0.025rem] leading-[1.5rem ...