Vector Databases Jobs in Ashburn, VA (NOW HIRING)

... and vector databases. • Integrate LLMs into enterprise applications. Qualifications & Compensation: • Degree: Technical bachelor's degree or equivalent experience • Years of experience: 13 ...

Experience with agent frameworks, data engineering, vector databases, SQL engines, distributed systems, RAG * Bachelors degree Security Clearance: * Active TS/SCI with polygraph clearance

Responsibilities : • Design, build, and deploy production-grade GenAI systems -- including RAG architectures, vector databases, LLM integrations, and tool-call frameworks -- in support of Saga ...

Your technical toolkit should include proficiency in working with vector databases and SQL, as well as a solid grasp of User Interface implementation using frameworks such as React or Angular.

Develop RAG pipelines using embeddings, vector databases, knowledge bases, and grounding techniques with enterprise data. Implement Azure OpenAI, Cognitive Search, and related services to build ...

... vector databases, and modern backend architectures. • Strong understanding of prompt engineering, RAG pipelines, and agent orchestration concepts. • Strong communication and problem-solving ...

Familiarity with REST APIs, vector databases, and modern backend architectures. Strong understanding of prompt engineering, RAG pipelines, and agent orchestration concepts. Strong communication and ...

... vector databases. · Containerize machine learning applications with Docker to ensure consistent deployment across environments. · Use Git for version control and participate in code reviews to ...

Architect and optimize Retrieval-Augmented Generation (RAG) pipelines and vector databases. Deploy AI applications on cloud platforms (AWS, Azure, or Google Cloud Platform) using Docker, Kubernetes ...

Develop and implement solutions leveraging LLMs, RAG, vector databases, prompt engineering, and AI governance frameworks. * Create reusable solution templates, demos, and best practices.

Architect and optimize Retrieval-Augmented Generation (RAG) pipelines and vector databases. Deploy AI applications on cloud platforms (AWS, Azure, or GCP) using Docker, Kubernetes, and CI/CD ...

Experience with Python, agent frameworks, data engineering, APIs/microservices, vector databases, SQL engines, distributed systems, cloud services, RAG * Understanding of DevOps tools and principals ...

Build Retrieval-Augmented Generation (RAG) solutions using vector databases. Design cloud-native AI solutions using Amazon Bedrock / Amazon SageMaker Develop autonomous AI agents using: LangChain ...

Architect and operationalize RAG pipelines, embeddings, vector databases, and LLM‑powered automation (chatbots, summarization, semantic search, anomaly detection). * Implement CI/CD pipelines ...

Architect and operationalize RAG pipelines, embeddings, vector databases, and LLM‑powered automation (chatbots, summarization, semantic search, anomaly detection). Implement CI/CD pipelines (GitHub ...

Create end-to-end GenAI workflows using vector databases, embeddings, and cloud-based model orchestration. • Integrate AI into Products : Work with APIs, microservices, and backend systems to embed ...

Architect Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise data sources. * Build intelligent agents and AI workflows capable of reasoning, automation, and decision ...

Experience with vector databases such as pgvector , Pinecone , Weaviate , or Chroma to support semantic search and AI/ML workflows * Familiarity with LLM orchestration frameworks such as LangChain ...

... data engineering, vector databases, SQL engines, distributed systems, RAG • Bachelors degree Company : Accenture Federal Services is a leading US federal services company and subsidiary of ...

Architect Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise data sources. * Build intelligent agents and AI workflows capable of reasoning, automation, and decision ...