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Pinecone Vector Databases Jobs in Arizona (NOW HIRING)

K&K Global Talent Solutions Inc.

Java GenAI Engineer

Phoenix, AZ · On-site

$51.50 - $70.50/hr

Embeddings & vector databases Experience with: * Spring AI / LangChain4j * Vector DBs (Pinecone, OpenSearch, pgvector) Knowledge of: * AI agents / orchestration frameworks * Cloud AI platforms (Azure ...

New

Staffingine LLC

AI Engineer

Phoenix, AZ · On-site

Develop and implement AI solutions using Python and AI frameworks such as Langgraph and Langchain Work with vector databases like Pinecone to manage and query highdimensional data Build and maintain ...

Tata Consultancy Services

Java GENAI Engineer

Phoenix, AZ · On-site

$51.50 - $70.50/hr

... vector databases • Experience with Spring AI / LangChain4j • Vector DBs (Pinecone, OpenSearch, pgvector) • Knowledge of AI agents / orchestration frameworks • Cloud AI platforms (Azure AI ...

Prophecy Technologies

Data Fabric Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Familiarity with vector databases (e.g., Pinecone, Chroma, FAISS) for RAG-enabled systems * Exposure to AI orchestration frameworks such as LangChain or Semantic Kernel * Strong understanding of data ...

Trans.eu

Java GENAI Engineer

Phoenix, AZ · On-site

$51.50 - $70.50/hr

... • Embeddings & vector databases Roles & Responsibilities • Experience with: • Spring AI / LangChain4j • Vector DBs (Pinecone, OpenSearch, pgvector) • Knowledge of: • AI agents ...

Prophecy Technologies

Data Fabric Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Familiarity with vector databases (e.g., Pinecone, Chroma, FAISS) for RAG-enabled systems * Exposure to AI orchestration frameworks such as LangChain or Semantic Kernel * Strong understanding of data ...

Globe Telecom, Inc.

Fullstack AI Engineer

Globe, AZ · On-site

Databases: PostgreSQL, and Vector DBs like Pinecone, Weaviate, or Chroma. * Cloud Infrastructure: Google Kubernetes Engine, Cloud Functions, DFCX Experience: 3-5 years in Full Stack Development with ...

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

Experience with vector databases and indexing for LLMs (e.g., FAISS, Pinecone). Interpersonal Skills: * Communication * Computer proficiency * Presentation skills * Listening * Teamwork Candidates ...

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

Experience with vector databases and indexing for LLMs (e.g., FAISS, Pinecone). Interpersonal Skills: * Communication * Computer proficiency * Presentation skills * Listening * Teamwork Candidates ...

All JobsPinecone Vector Databases JobsPinecone Vector Databases Jobs in Arizona

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.

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Pinecone Vector Databases jobs near you

Java GenAI Engineer

K&K Global Talent Solutions Inc.

Phoenix, AZ • On-site

$51.50 - $70.50/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Java GENAI  Engineer

Location: Phoenix, AZ (Onsite)

Job Type: Full Time

Experience Required - 6+ Years

Job Description:

6-8 years Strong experience in:

  • Java, Spring Boot, Microservices
  • REST API development

Hands-on experience with:

  • LLM APIs (OpenAI / Gemini / Claude)
  • Prompt engineering

Understanding of:

  • RAG (Retrieval-Augmented Generation)
  • Embeddings & vector databases

Experience with:

  • Spring AI / LangChain4j
  • Vector DBs (Pinecone, OpenSearch, pgvector)

Knowledge of:

  • AI agents / orchestration frameworks
  • Cloud AI platforms (Azure AI, AWS Bedrock, Vertex AI)
  • Basic Python understanding (optional but beneficial in enterprise roles).