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Pinecone Vector Databases Jobs in Ohio (NOW HIRING)

RiseIT Solutions

AI Engineer

Cincinnati, OH · On-site

Experience with RAG, Vector Databases (Pinecone, FAISS, Chroma, Weaviate) , and Agentic AI. * Understanding of AI Governance, Responsible AI, Safety, and Compliance . * Experience deploying ...

New

Frontier Technology Inc.

AI/ML Engineer

Dayton, OH · On-site +1

Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid). * Write clean, efficient Python code for data ingestion, feature ...

Frontier Technology Inc.

AI/ML Engineer

Dayton, OH · Remote

Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid). * Write clean, efficient Python code for data ingestion, feature ...

Frontier Technology Inc.

AI/ML Engineer

Dayton, OH · Remote

Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid). * Write clean, efficient Python code for data ingestion, feature ...

Frontier Technology Inc.

AI/ML Engineer

Dayton, OH · Remote

Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid). * Write clean, efficient Python code for data ingestion, feature ...

A-TEK Inc.

Federal AI Solutions Engineer

Continental, OH · On-site

$135K - $150K/yr

Experience with vector databases (e.g., Pinecone, Weaviate, Milvus, FAISS) * Ability to design and debug distributed cloud systems and AI-enabled applications. * Strong communication skills: able to ...

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 ...

GARGI TECHNOLOGIES INC

AI / GenAI Engineer

Ohio City, OH · On-site

$97K - $131K/yr

... with vector databases (Pinecone, Weaviate, Chroma, FAISS, Milvus) and orchestration of multi-agent and tool-using systems. 4. Strong backend development experience using FastAPI / Django REST ...

American Financial

AI Platform Engineer

Cincinnati, OH · On-site

Practical experience building RAG systems end-to-end: embeddings, vector databases (e.g., pgvector, Pinecone, Weaviate, Azure AI Search), retrieval tuning, and evaluation. * Working knowledge of MCP ...

First Solar

Engineer- IT AI II USA

Perrysburg, OH · On-site

$112K - $160K/yr

LLM & Prompt Engineering - Skilled in prompt design, vector databases (Azure AI Search, Pinecone), and orchestration. * AI Architecture - Ability to design secure, scalable, and maintainable AI agent ...

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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
AI Engineer

AI Engineer

RiseIT Solutions

Cincinnati, OH • On-site

Other

Posted 2 days ago

Job description

Company: iTech US, Inc.

Job Title: AI Engineer

Location: Cincinnati, OH (Onsite)

Job 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. 

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.
  • Python, LangChain, LangGraph, RAG, Agentic AI, OpenAI, Vector Databases, AI Governance, Cloud AI.

Required Education:  At least a Bachelor’s Degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems or closely related field is required.

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

To Apply:

VamshiKrishna. K

iTech US, Inc.

Apply