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Pinecone Vector Databases Jobs in Raleigh, NC (NOW HIRING)

Work with relational databases (PostgreSQL) and vector databases (pgvector, Pinecone, Weaviate). * Design and manage data infrastructure (Delta Lake, ClickHouse). * Strong experience with Node.js or ...

Architect, Data AI

Durham, NC

$61.50 - $79.25/hr

Architect and manage vector database solutions (e.g., Pinecone, Weaviate, FAISS, Milvus) for embeddings, hybrid search, and RAG pipelines. Leverage advanced statistical and data science techniques to ...

Architect, Data AI

Durham, NC

$61.50 - $79.25/hr

... vector database solutions (e.g., Pinecone, Weaviate, FAISS, Milvus) for embeddings, hybrid search, and RAG pipelines. • Leverage advanced statistical and data science techniques to extract ...

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

... vector database solutions (e.g., Pinecone, Weaviate, FAISS, Milvus) for embeddings, hybrid search, and RAG pipelines. • Leverage advanced statistical and data science techniques to extract ...

Familiarity with prompt engineering and vector databases (e.g., Pinecone, Weaviate). * Success operating in a matrix environment, developing strong relationships across functional groups (e.g ...

... with vector databases (e.g., Pinecone, Weaviate, pgvector) and semantic search. • Experience building or maintaining internal developer platforms, artifact registries, or shared API services.

Significant experience working with relational databases like PostgreSQL, and vector databases like pgvector, Pinecone, or Weaviate. * You've worked with data infrastructure, including technologies ...

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 Raleigh, NC? For Pinecone Vector Databases jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Pinecone Vector Databases jobs in Raleigh, NC look for? The top searched job categories for Pinecone Vector Databases jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Pinecone Vector Databases jobs? Cities near Raleigh, NC with the most Pinecone Vector Databases job openings:
AI Software Engineer

Other

Posted 27 days ago


Job description

Our client is a fast-growing technology startup using AI to transform how businesses manage complex sales processes. Their platform streamlines workflows, surfaces risks, and automates repetitive tasks to help teams execute faster and more consistently.

As a Senior Software Engineer focused on AI agents, you’ll design and build core agent architecture—including planning, memory, and tool integration—to handle complex workflows at scale. You’ll work across the stack, shaping how AI systems interact with large volumes of real-world data while setting engineering best practices and contributing to team growth.

Responsibilities & Requirements

  • Build and maintain production AI agents powered by modern language models.
  • Develop evaluation pipelines and datasets to benchmark agent performance.
  • Work with relational databases (PostgreSQL) and vector databases (pgvector, Pinecone, Weaviate).
  • Design and manage data infrastructure (Delta Lake, ClickHouse).
  • Strong experience with Node.js or Python.
  • Bonus: Cloud infrastructure (AWS, Azure, GCP), Terraform, and strong writing skills.
  • Thrive in a fast-paced environment and own problems end-to-end.

What They Offer

  • Significant equity and competitive salary options.
  • Relocation support to Raleigh/Durham, NC.
  • A collaborative, high-velocity environment where you’ll influence early product and business decisions.
  • A culture that values humor and lightheartedness while driving serious business outcomes.

Equal Opportunity  

Our client is proud to be an equal-opportunity employer. They thrive on diversity and are committed to fostering an inclusive environment for all team members.


Strategic Employment Partners logo

About Strategic Employment Partners

Sourced by ZipRecruiter

Strategic Employment Partners (SEP) was founded in 2007, serving companies in the Greater Los Angeles area by providing Technology Recruiting and Placement Services. With the combined experience of our seasoned professionals, SEP quickly began to build strong partnerships and provide curated talent for some of the largest and fastest growing companies in Los Angeles. Since then, SEP has expanded its operations and currently has eight divisions nationwide.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2006

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