ZipRecruiter

Log In

1

Pinecone Vector Databases Jobs in Washington (NOW HIRING)

Merican

AWS AI Engineer

Herndon, VA · On-site

Manage and optimize vector databases (e.g., Pinecone, Weaviate, Milvus) * Design and optimize Retrieval-Augmented Generation (RAG) pipelines for performance and scalability * Implement AI governance ...

Technology Ventures

Senior GenAI Engineer

Reston, VA · On-site

$108K - $149K/yr

Implement Retrieval Augmented Generation (RAG) solutions using vector databases (pgvector, Pinecone, Weaviate). Perform data analysis, preparation, and curation to build high-quality datasets for AI ...

Tekwissen

AWS AI Engineer

Herndon, VA · On-site

Manage and optimize vector databases (e.g., Pinecone, Weaviate, Milvus) * Design and optimize Retrieval-Augmented Generation (RAG) pipelines for performance and scalability * Implement AI governance ...

Merican

AWS AI Engineer

Herndon, VA · On-site

Manage and optimize vector databases (e.g., Pinecone, Weaviate, Milvus) * Design and optimize Retrieval-Augmented Generation (RAG) pipelines for performance and scalability * Implement AI governance ...

Amivero

AI Engineer

Reston, VA · On-site

Work with vector databases such as OpenSearch, Pinecone, Weaviate, Chroma, FAISS, or similar technologies for scalable retrieval systems. * Develop data ingestion and knowledge management pipelines ...

Amivero

AI Engineer

Reston, VA · On-site

$75K - $190K/yr

Work with vector databases such as OpenSearch, Pinecone, Weaviate, Chroma, FAISS, or similar technologies for scalable retrieval systems. * Develop data ingestion and knowledge management pipelines ...

Amivero

AI Engineer

Reston, VA · On-site

$75K - $190K/yr

Work with vector databases such as OpenSearch, Pinecone, Weaviate, Chroma, FAISS, or similar technologies for scalable retrieval systems. * Develop data ingestion and knowledge management pipelines ...

Diverse Lynx

GEN AI PYTHON

Mclean, VA · On-site

$100K - $110K/yr

... using vector databases (Pinecone, FAISS, Chroma DB, Azure AI Search) to enable enterprise-grade QA and summarization systems. • Integrate GenAI models into applications via APIs, SDKs ...

New

Tata Consultancy Service Limited

Engineer

Mclean, VA · On-site

$100K - $120K/yr

... using vector databases (Pinecone, FAISS, Chroma DB, Azure AI Search) to enable enterprise-grade QA and summarization systems. • Integrate GenAI models into applications via APIs, SDKs ...

SES

Gen AI/Python Developer

Reston, VA · On-site

$52.25 - $72/hr

Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG). Exposure to data visualization tools (e.g., Power BI, Tableau). Bachelor s degree in Computer ...

SES

Python/Gen AI Developer

Reston, VA · On-site

$52.25 - $72/hr

Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG). Exposure to data visualization tools (e.g., Power BI, Tableau). Bachelor s degree in Computer ...

next page

Showing results 1-20

All JobsPinecone Vector Databases JobsPinecone Vector Databases Jobs in Washington

Pinecone Vector Databases information

What is a Pinecone Vector Database?

A Pinecone Vector Database is a cloud-based service designed to efficiently store, index, and search high-dimensional vector data, such as embeddings generated by machine learning models. It enables fast similarity search, making it ideal for use cases like semantic search, recommendation systems, and AI-powered applications. Pinecone handles the complexity of scaling and managing vector data, so developers can focus on building intelligent applications without worrying about infrastructure.

What are the key skills and qualifications needed to thrive as a Pinecone Vector Database Engineer, and why are they important?

To thrive as a Pinecone Vector Database Engineer, you need a strong background in computer science, data engineering, and experience with large-scale distributed systems, often supported by a relevant degree or equivalent experience. Proficiency in Python, REST APIs, cloud platforms (AWS, GCP), and vector search technologies, along with familiarity with Pinecone’s SDK and database management, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with cross-functional teams and deliver scalable solutions. These skills ensure robust database performance, efficient data retrieval, and successful integration of vector search capabilities into real-world applications.

What are some common challenges faced by engineers working with Pinecone Vector Databases, and how can they be addressed?

Engineers working with Pinecone Vector Databases often encounter challenges such as optimizing vector search performance at scale, ensuring data consistency across distributed systems, and integrating the database with various machine learning pipelines. Addressing these challenges typically involves tuning indexing parameters, monitoring resource utilization, and collaborating closely with data scientists to understand retrieval requirements. Regularly reviewing documentation and participating in community forums can also help engineers stay current with best practices and new features.

What is the difference between Pinecone Vector Databases vs Data Engineers?

AspectPinecone Vector DatabasesData Engineers
Primary RoleManaging and deploying vector database solutions for AI/ML applicationsDesigning, building, and maintaining data pipelines and infrastructure
Skills & CertificationsKnowledge of vector databases, cloud platforms, programming (Python, SQL)Data modeling, ETL processes, cloud services, programming (Python, Java)
Work EnvironmentTech companies, AI startups, cloud providersData-driven organizations, tech firms, finance, healthcare

While Pinecone Vector Databases specialists focus on deploying and managing vector database solutions for AI applications, Data Engineers build and maintain the data infrastructure that supports these systems. Both roles require programming skills and familiarity with cloud platforms, but their core responsibilities differ: one centers on database management, the other on data pipeline development.

What are popular job titles related to Pinecone Vector Databases jobs in Washington? For Pinecone Vector Databases jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Pinecone Vector Databases jobs in Washington look for? The top searched job categories for Pinecone Vector Databases jobs in Washington are:
What cities in Washington are hiring for Pinecone Vector Databases jobs? Cities in Washington with the most Pinecone Vector Databases job openings:
Pinecone Vector Databases jobs near you

Agentic AI - Java Background

TechYantram Solutions

Arlington, VA • On-site

$66 - $84/hr

Other

Posted 17 days ago

Job description

Agentic AI - Java BackgroundIntroduction:

As a member of our Agentic AI team with a Java background, you will be responsible for developing and implementing innovative AI solutions using cutting-edge technologies. You will work closely with our team to create AI-powered applications that drive business growth and enhance user experiences.

Responsibilities:
  • Develop and deploy Java microservices using LangChain4j and Spring AI
  • Implement Semantic Kernel for enhanced AI capabilities
  • Utilize Retrieval-Augmented Generation (RAG) for advanced AI functionalities
  • Work with Milvus, Qdrant, and Pinecone for efficient data storage and retrieval
  • Integrate LLM (Large Language Model) for natural language processing tasks
  • Utilize Spring Boot and Spring Cloud for building scalable applications
  • Implement Hibernate for database management
  • Create and maintain RESTful APIs for seamless communication between services
  • Utilize PostgreSQL and NoSQL databases for data storage and retrieval
  • Work with Vector Databases, including PGVector and Chroma, for AI model storage
  • Implement messaging systems such as Kafka and RabbitMQ for real-time data processing
  • Utilize WebSockets for bidirectional communication between clients and servers
  • Deploy applications on cloud platforms such as AWS, Azure, and Google Cloud Platform
  • Containerize applications using Docker and manage container orchestration with Kubernetes
Requirements:

Required Skills:

  • Proficiency in Java programming
  • Experience with developing Java microservices
  • Knowledge of AI technologies such as RAG, LLM, and Semantic Kernel
  • Experience with Spring Boot, Spring Cloud, and Hibernate
  • Understanding of RESTful API design and implementation
  • Experience with PostgreSQL and NoSQL databases
  • Familiarity with Vector Databases like PGVector and Chroma
  • Experience with messaging systems such as Kafka and RabbitMQ
  • Knowledge of WebSockets for real-time communication
  • Experience with cloud platforms like AWS, Azure, and Google Cloud Platform
  • Proficiency in Docker and Kubernetes for containerization and orchestration

Preferred Skills:

  • Experience with Milvus, Qdrant, and Pinecone for data storage and retrieval

Apply