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Pinecone Vector Databases Jobs in Ohio (NOW HIRING)

Photon

Senior Java Developer - GenAI

Columbus, OH · On-site

$53.50 - $68.25/hr

Vector databases such as Pinecone, Weaviate, Milvus, pgvector, or similar. * Experience building Agentic AI / Multi-Agent Systems . * Knowledge of AI/ML concepts and model deployment. * Experience ...

Lorven Technologies

AI Engineer

Columbus, OH · On-site

Experience building AI-powered applications using vector databases (Pinecone, ChromaDB, FAISS, Weaviate, etc.). * Strong knowledge of prompt engineering, embeddings, model evaluation, and fine-tuning.

Lorven Technologies, Inc.

AI Engineer

Columbus, OH · On-site

Experience building AI-powered applications using vector databases (Pinecone, ChromaDB, FAISS, Weaviate, etc.). * Strong knowledge of prompt engineering, embeddings, model evaluation, and fine-tuning.

Photon

Java Architect

Columbus, OH · On-site

$58.75 - $79.50/hr

Vector databases such as Pinecone, Weaviate, Milvus, pgvector, or similar. Experience building Agentic AI / Multi-Agent Systems. Knowledge of AI/ML concepts and model deployment. Experience with ...

Further

Senior AI Engineer

Cleveland, OH · On-site

$101K - $139K/yr

Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms. * Strong understanding of LLMOps principles, including model registry, versioning, and serving ...

Further

Senior AI Engineer

Cleveland, OH · On-site +1

$101K - $139K/yr

Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms. * Strong understanding of LLMOps principles, including model registry, versioning, and serving ...

The Mutual Group

Lead AI Engineer - AWS Platform

Columbus, OH · On-site +1

$130K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with vector databases (Pinecone, Weaviate, etc.) * Experience in regulated industries (insurance, finance, healthcare) * Exposure to microservices and containerized environments (Docker ...

ClifyX

AI/ML Senior Architect

Cincinnati, OH · On-site

... vector databases such as Pinecone, Weaviate, and FAISS. • Ensure adherence to responsible AI principles, explainability, and fairness. • Implement data privacy, encryption, and access controls ...

Deloitte

Cyber - SecOps - Consultant

Columbus, OH · On-site

Qualifications Required: * 2+ years of analytics consulting or industry experience * 2+ years of experience with artificial intelligence development tools, including vector databases such as Pinecone ...

Deloitte

Cyber - SecOps - Consultant

Cleveland, OH · On-site

Qualifications Required: * 2+ years of analytics consulting or industry experience * 2+ years of experience with artificial intelligence development tools, including vector databases such as Pinecone ...

Hawthorne Gardening Co.

Director, Corporate Strategy

Marysville, OH · On-site

$175.70 - $206.70/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Familiarity with modern data architectures, including vector databases (e.g., Pinecone, Chroma), business intelligence tools (Tableau, PowerBI), and workflow automation platforms (e.g., Make, Zapier ...

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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 Ohio?

For Pinecone Vector Databases jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Pinecone Vector Databases jobs in Ohio look for?

The top searched job categories for Pinecone Vector Databases jobs in Ohio are:

What cities in Ohio are hiring for Pinecone Vector Databases jobs?

Cities in Ohio with the most Pinecone Vector Databases job openings:

Pinecone Vector Databases jobs near you

W2 Contract Job : AI Engineer || Cincinnati, OH - Onsite

Intone Networks Inc.

Cincinnati, OH • On-site

Other

Posted 19 days ago

Job description

Hi there,
Hope you are doing well,
Please go through the job description, if you are interested, Please Share your updated resume.
 
Job Role :  AI Engineer
Location : Cincinnati, OH - Onsite
Hire Type : Contract
Acceptable Tax-Terms : W2
**** in-person interview required****
 
Job description :
Design, develop, and deploy enterprise AI solutions leveraging LangChain, LangGraph, RAG, Agentic AI, and AI Governance. Senior engineers will additionally lead architecture, governance, and AI strategy initiatives.

 

Primary Skills: Python, LangChain, LangGraph, RAG, Agentic AI, OpenAI, Vector Databases, AI Governance, Cloud AI.

Key Responsibilities

  • Build and deploy LLM-based applications, agents, and RAG solutions using LangChain/LangGraph.
  • Develop prompt workflows, orchestration pipelines, and vector search solutions.
  • Integrate LLMs with APIs, databases, and enterprise platforms.
  • Implement AI governance, safety, compliance, and risk controls.
  • Deploy and scale AI solutions on cloud platforms.
  • Senior: Lead AI architecture, mentor teams, define best practices, and drive AI innovation.

Required Skills

  • Strong Python development experience.
  • Hands-on expertise in LangChain, LangGraph, OpenAI/Azure OpenAI.
  • Experience with RAG, Vector Databases (Pinecone, FAISS, Chroma, Weaviate), and Agentic AI.
  • Understanding of AI Governance, Responsible AI, Safety, and Compliance.
  • Experience deploying enterprise AI solutions in AWS, Azure, or Google Cloud Platform.

Preferred Skills

  • Multi-Agent Systems and advanced AI orchestration.
  • Guardrails, AI auditing, and compliance tooling.
  • Experience leading enterprise AI programs and mentoring teams.
 
 
 
 
 
 
Thanks & Regards
Abhinav Singh
Technical Recruitment Specialist
Intone Networks Inc.
Direct No:
Email:
LinkedIn URL: 

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