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Pinecone Vector Databases Jobs (NOW HIRING)

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 ...

Birlasoft

Technical Specialist-App Development

Kettering, OH · On-site

$45 - $58.25/hr

Database & Storage: Architect and manage optimal data solutions across relational (SQL) databases and vector databases (e.g., PostgreSQL, Pinecone, Elasticsearch) to support AI memory and context.

CCS INC

Gen AI Engineer

Plano, TX · On-site

$40 - $50/hr

Deep understanding of LLMs, embeddings, vector databases (e.g., FAISS, Pinecone, Weaviate). * Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)

CCS INC

Lead Gen AI Engineer

Plano, TX · On-site

$85 - $110/hr

Deep understanding of LLMs, embeddings, vector databases (e.g., FAISS, Pinecone, Weaviate). * Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)

Sage IT Inc

AI Tech Lead with Python Background

Mclean, VA · On-site

$143K - $176K/yr

Implement Retrieval-Augmented Generation (RAG) using vector databases such as Pinecone, FAISS, ChromaDB, or Milvus. Integrate AI models from OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, or ...

New

Precision Technologies Corp

Sr. Data/GenAI Engineer

Irving, TX · On-site

$101K - $138K/yr

... vector databases (e.g., Pinecone, Chroma, PGvector) and the concept of embeddings. o Experience working with a variety of data sources, from structured databases to semi-structured API outputs. o ...

TMS

AI/ ML Engineer

New York, NY · Remote

$60 - $62/hr

Knowledge of vector databases (Pinecone, FAISS, Weaviate, ChromaDB) * Experience with REST APIs and microservices * Familiarity with cloud platforms (AWS, Azure, or GCP) Good to Have * Experience ...

Cliff Services Inc

AI/LLM Eng

Jersey City, NJ · On-site

... Vector databases (pgvector, Pinecone, Chroma, etc.) Python backend development (FastAPI/Flask) API integrations and workflow orchestration Deep Learning & Machine Learning (model training, fine ...

New

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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.

More about Pinecone Vector Databases jobs
What cities are hiring for Pinecone Vector Databases jobs? Cities with the most Pinecone Vector Databases job openings:
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What job categories do people searching Pinecone Vector Databases jobs look for? The top searched job categories for Pinecone Vector Databases jobs are:
Pinecone Vector Databases jobs near you
Infographic showing various Pinecone Vector Databases job openings in the United States as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Hiring: Senior .NET Developer with Gen-AI Experience

Realtech Services

Charlotte, NC • On-site

$53.25 - $70.25/hr

Contractor

Posted 6 days ago

New

Job description


Position: Senior .NET Developer with Gen-AI Experience

Location: Charlotte, NC (Day 1 Onsite)
Duration: Long-Term Contract
 

Required Skills:

  • 8+ years of experience in .NET application development
  • Strong experience with C#, ASP.NET Core, .NET 6/7/8
  • Experience developing RESTful APIs and Microservices
  • Strong knowledge of Entity Framework Core
  • Experience with SQL Server and performance tuning
  • Experience with Azure Cloud services
  • Hands-on experience with Azure DevOps, Git, and CI/CD pipelines
  • Experience working in Agile/Scrum environments

Generative AI Skills:

  • Hands-on experience with Azure OpenAI, OpenAI APIs, or similar LLM platforms
  • Experience integrating LLMs into enterprise applications
  • Knowledge of Prompt Engineering
  • Experience with Retrieval-Augmented Generation (RAG)
  • Understanding of Vector Databases (Azure AI Search, Pinecone, ChromaDB, FAISS, etc.)
  • Experience using LangChain, Semantic Kernel, or Microsoft AI SDKs
  • Familiarity with AI orchestration frameworks and agent-based architectures
  • Experience implementing AI-powered chatbots, document search, or intelligent assistants

Required Technical Skills:

Microsoft Technologies:

  • C#, ASP.NET Core, .NET 6/7/8, MVC, Web API, Entity Framework Core, LINQ, SQL Server, Azure Functions, and Azure App Services.

AI/ML:

  • Azure OpenAI, OpenAI APIs, LangChain, Semantic Kernel, RAG, prompt engineering, vector databases, LLM integration, and AI agents.