Vector Databases Jobs in South Carolina (NOW HIRING)

Responsibilities : • Define end-to-end GenAI architecture, including model selection, fine-tuning, retrieval-augmented generation (RAG), vector databases, and prompt engineering pipelines. • ...

Vector Databases * AI Agents and Agentic Workflows * Finetuning and Model Evaluation * Responsible AI and AI Governance Programming Frameworks * Proficiency in Python * Experience with Lang Chain

Implement Retrieval-Augmented Generation (RAG) patterns combining vector databases or SQL Server VECTOR columns with LLM inference. * Evaluate AI-generated code critically: spot errors, security ...

Build knowledge bases and embedding models for contextual reasoning using vector databases (Pinecone, OpenSearch). * Apply memory management techniques for multi-agent orchestration (short-term and ...

... vector databases, or hybrid retrieval architectures • Familiarity with RAG systems, embeddings, and LLM integration patterns • Experience building AI platforms, copilots, or agent-based systems ...

Good understanding of RAG, embeddings, vector databases, semantic search, and prompt engineering. * Experience with vector stores such as OpenSearch, Pinecone, FAISS, Chroma, Weaviate, Milvus, Azure ...

Experience with Elasticsearch/OpenSearch, vector databases, or hybrid retrieval architectures . * Familiarity with RAG systems, embeddings, and LLM integration patterns . * Experience building AI ...

Experience with Elasticsearch/OpenSearch, vector databases, or hybrid retrieval architectures . * Familiarity with RAG systems, embeddings, and LLM integration patterns . * Experience building AI ...

Experience with Elasticsearch/OpenSearch, vector databases, or hybrid retrieval architectures . * Familiarity with RAG systems, embeddings, and LLM integration patterns . * Experience building AI ...

Vector databases (Pinecone, FAISS) RAG (Retrieval-Augmented Generation) architectures Enterprise Capabilities Experience in: Observability integration for AI systems Tool calling frameworks and agent ...

Hands-on experience with LLMs, prompt engineering, AI agents, RAG architectures, and vector databases/search technologies. * Experience with modern AI frameworks and orchestration tools (LangChain ...

Vector databases, embeddings, and semantic search * REST APIs and enterprise integration * Cloud architecture and distributed systems * DevSecOps and CI/CD * Healthcare interoperability (FHIR, HL7 ...

Vector databases, embeddings, and semantic search * REST APIs and enterprise integration * Cloud architecture and distributed systems * DevSecOps and CI/CD * Healthcare interoperability (FHIR, HL7 ...

Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. * Capable of working with GraphQL, microservices, or event-driven systems in fast-paced ...

Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. * Capable of working with GraphQL, microservices, or event-driven systems in fast-paced ...

... with vector databases and embedding models - Track record of fine-tuning models on domain-specific data - Experience processing and managing data pipelines - Contributions to open-source AI/ML ...

Define AI architecture patterns, such as feature stores, model lifecycle management, vector databases, and LLM integration * Work with Chief Data & AI Officer to establish responsible AI guardrails ...

Hands-on experience with LLMs, prompt engineering, AI agents, RAG architectures, and vector databases/search technologies. * Experience with modern AI frameworks and orchestration tools (LangChain ...

Hands-on experience with LLMs, prompt engineering, AI agents, RAG architectures, and vector databases/search technologies. * Experience with modern AI frameworks and orchestration tools (LangChain ...

Familiarity with the modern AI stack: vector databases, RAG, agent frameworks, evaluation, and the build-vs-buy tradeoffs across foundation model providers and open-source. * Built or rebuilt an ...