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Pinecone Jobs (NOW HIRING)

E-Solutions

GEN AI with Python Programming

Santa Clara, CA · On-site

$58.50 - $80.75/hr

Pinecone, Weaviate GenAI Engineers build the core intelligence layer-agents, workflows, prompts, and decision logic-that power enterprise AI applications. Technology Stack (Priority Order) 1. ...

Tata Consultancy Services

Java GENAI Engineer

Phoenix, AZ · On-site

$51.50 - $70.50/hr

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

Saviance

Senior Data / RAG Engineer

Boston, MA · On-site

$115K - $156K/yr

Design and implement RAG Vector Databases (e.g., OpenSearch, Pinecone) using archival data from S3 / Glacier and overall data management via MS SQL Server . * Modernize existing data ingestion ...

Innowhyte Inc

Build and implement RAG pipelines with vector databases (e.g., Pinecone, FAISS). Develop Generative AI solutions, including chatbots, summarization, and content creation tools. Preprocess, clean, and ...

CCS INC

AI/ML Engineer

Plano, TX · On-site

$65 - $75/hr

Deep operational expertise with vector databases, such as Pinecone, Milvus, Weaviate, or Qdrant. * AWS Solutions Architect, AWS DevOps Engineer, or equivalent industry certifications.

VDart, Inc.

Python Engineer

San Jose, CA · On-site

Strong knowledge of SQL (PostgreSQL) and NoSQL (Redis, MongoDB), plus experience with Vector Databases (Pinecone, Weaviate). Infrastructure: Proficiency with Docker, AWS/Google Cloud Platform, and ...

K-Tek Resourcing LLC

Python Developer

San Jose, CA · On-site

$59 - $81.25/hr

Strong knowledge of SQL (PostgreSQL) and NoSQL (Redis, MongoDB), plus experience with Vector Databases (Pinecone, Weaviate). Infrastructure: Proficiency with Docker, AWS/Google Cloud Platform, and ...

TechnoSphere, Inc.

Python Engineer

San Jose, CA · On-site

$10/hr

Databases: Strong knowledge of SQL (PostgreSQL) and NoSQL (Redis, MongoDB), plus experience with Vector Databases (Pinecone, Weaviate). Infrastructure: Proficiency with Docker, AWS/GCP, and ...

eTeam

Python backend Engineer

Cary, NC · On-site

Databases: Strong knowledge of SQL (PostgreSQL) and NoSQL (Redis, MongoDB), plus experience with Vector Databases (Pinecone, Weaviate). Infrastructure: Proficiency with Docker, AWS/GCP, and ...

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Pinecone information

What is a Pinecone job?

A Pinecone job typically refers to working with Pinecone, a vector database designed for machine learning and AI applications. Roles can range from engineering positions that focus on optimizing search and retrieval to data science roles that work with embeddings. Pinecone jobs often require knowledge of machine learning, data indexing, and scalable infrastructure.

What are the typical responsibilities and challenges for an engineer working with Pinecone vector databases?

Engineers working with Pinecone typically focus on building, maintaining, and scaling vector search solutions that power features like semantic search and recommendations. Daily tasks often include integrating Pinecone with other data systems, optimizing indexing and query performance, and ensuring high availability. Common challenges involve efficiently handling large-scale data, managing latency requirements, and troubleshooting distributed system issues. Collaboration with data scientists and backend engineers is frequent to ensure seamless model integration and real-time data flows.

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

To thrive as a Pinecone Engineer, you need a solid background in computer science, experience with vector databases, and proficiency in programming languages such as Python or Java. Familiarity with Pinecone's vector database platform, cloud infrastructure (like AWS, GCP, or Azure), and API integration is typically required. Strong problem-solving skills, collaboration, and effective communication set standout engineers apart in this role. These competencies are crucial for building scalable, high-performance search applications and ensuring seamless integration with organizational data systems.

What are Pinecone engineers?

Pinecone engineers are professionals who work with Pinecone, a vector database service designed for building and deploying machine learning applications that require similarity search and retrieval of high-dimensional data. Their role often involves integrating Pinecone into various technology stacks, optimizing data pipelines, and ensuring efficient large-scale vector search for features like recommendation systems, semantic search, or AI-powered applications. They typically have expertise in Python, APIs, machine learning concepts, and cloud infrastructure. Pinecone engineers help organizations manage and scale their AI search capabilities effectively.

What is the difference between Pinecone vs Data Scientist?

AspectPineconeData Scientist
Required CredentialsTechnical skills in databases, APIs, and cloud platformsDegree in Computer Science, Statistics, or related fields; often includes certifications
Work EnvironmentTech companies, startups, cloud service providersResearch labs, corporate teams, consulting firms
Industry UsageData management, vector similarity search, AI applicationsData analysis, predictive modeling, machine learning
Common Search/ComparisonYesYes

While Pinecone specializes in vector database management and similarity search technology, Data Scientists focus on analyzing data, building models, and deriving insights. Both roles often collaborate in AI projects, but their core skills and tools differ significantly.

More about Pinecone jobs
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Pinecone jobs near you
Pinecone Vision Center - Associate Optometrist Position

Pinecone Vision Center - Associate Optometrist Position

PineCone Vision Center

Sartell, MN • On-site

Full-time

Medical, Dental, Retirement, PTO

Posted 12 days ago

Job description

 Pinecone Vision Center - Associate Optometrist Position

PineCone Vision Center is seeking a motivated, growth-oriented Associate Doctor of Optometry to join our progressive, technology-driven practice. With two modern clinical locations—including a newly renovated flagship office and a second clinic built in 2022—our environment supports high-level care, efficiency, and long-term professional growth.

This opportunity offers a six-figure base salary with monthly production bonus (no cap), along with a comprehensive benefits package including PTO, 401(k) match, liability coverage, and health/dental insurance, plus customizable student loan assistance and relocation support designed to fit your individual needs. Ideal for an optometrist who values advanced clinical care, cutting-edge technology, and the ability to develop a specialty niche within a collaborative setting.

For doctors interested in long-term growth, there is opportunity to expand your role and impact within the organization over time.

Apply