Vector Databases Jobs in Secaucus, NJ (NOW HIRING)

... LLMs, vector databases, and AI infrastructure to power intelligent product experiences. • Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with ...

Integrate agents with vector databases, RAG pipelines, and knowledge graphs. Production AI Systems * Implement observability, evaluation, and guardrails for agent behavior. * Optimize AI pipelines ...

Integrate vector databases + RAG pipelines to make customer profiles smarter, faster, and searchable in real time * Ship features end-to-end: APIs, dashboards, integrations (Shopify, Klaviyo, Slack ...

Design and implement solutions involving Large Language Models (LLMs), embeddings, vector databases, Retrieval-Augmented Generation (RAG), and prompt engineering. * Work with cloud AI services such ...

Integrate agents with vector databases, RAG pipelines, and knowledge graphs. Production AI Systems * Implement observability, evaluation, and guardrails for agent behavior. * Optimize AI pipelines ...

Design vector databases (Pinecone, Weaviate, FAISS, etc.) * Build ingestion pipelines and knowledge retrieval systems * Team leadership * Mentor engineers and guide best practices * Conduct code ...

Design vector databases (Pinecone, Weaviate, FAISS, etc.) * Build ingestion pipelines and knowledge retrieval systems * Team leadership * Mentor engineers and guide best practices * Conduct code ...

PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt ...

... vector databases and graph databases. You'll own end-to-end delivery: ingestion → retrieval → agent orchestration → evaluation → deployment. What you'll do * Design and implement RAG ...

You will build pipelines that ingest petabyte-scale data into object storage and turn it into fast, queryable databases and vector stores, design large-scale storage and retrieval across hot and cold ...

... vector databases and graph databases. You ll own end-to-end delivery: ingestion retrieval agent orchestration evaluation deployment. What you ll do * Design and implement RAG pipelines on Google ...

Vector databases (FAISS, Chroma, Pinecone, etc) * Observability stack setup (logging, drift/bias monitoring) Knowledge of: * Agent Development Lifecycle (ADLC) * Governance and compliance for AI ...

Familiarity with vector databases and embedding models * Experience working with Graph Databases (e.g., Neo4j or similar)

Experience with processing unstructured data, including proficiency in Vector Databases and Graph Databases, is highly desirable. Strong understanding of AI and ML concepts, including deep learning ...

Strong expertise in LLMs, RAG, AI agents, prompt engineering, and vector databases. * Experience with Python, LangChain, LangGraph, LlamaIndex, and cloud platforms (AWS, Azure, or GCP). * Strong ...

... vector databases and prompt engineering Build Agentic AI systems capable of autonomous task execution decisionmaking and multistep reasoning using frameworks like LangChain Agents AutoGPT or ...

Vector databases and semantic search frameworks * Agentic AI frameworks and orchestration patterns * Define and operationalize MLOps and LLMOps pipelines for model lifecycle management. * Enable ...

... Vector databases such as Qdrant and MongoDB Atlas with vector search capabilities. • Extensive experience in MLOps practices, including CI/CD pipelines for ML models, model registry management, and ...

Design robust RAG (Retrieval-Augmented Generation) strategies using Azure AI Search and vector databases to enable deep-context searching across customer risk profiles. * Tooling & Connectivity:

You will build pipelines that ingest petabyte-scale data into object storage and turn it into fast, queryable databases and vector stores, design large-scale storage and retrieval across hot and cold ...