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Pinecone Vector Databases Jobs in Indiana (NOW HIRING)

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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 Indiana?

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Pinecone Vector Databases jobs near you

.NET Full Stack Developer with AI (C#, Angular & LLM Integration) - Q3 - 2026

R2 Technologies Corporation

Indianapolis, IN • On-site

Full-time

Posted 23 days ago

Job description

Overview:
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we provide IT staffing and digital product engineering services to clients ranging from startups to Fortune 1000 companies. In addition to talent services, R2 develops proprietary solutions including SmartEnt, an enterprise AI and IoT intelligence platform. We work closely with our clients to deliver technology outcomes that are realistic, measurable, and impactful.
Job Summary: The .NET estate inside most enterprises is where AI has to land to be useful, and the Microsoft stack now has a first-class path to get it there. R2 Technologies is seeking a .NET Full Stack Developer with AI experience to build and maintain enterprise applications that embed Generative AI capabilities. You will work across .NET Core services, Angular front ends, and SQL Server data layers, integrating LLM-powered features such as document search, retrieval-augmented generation, chatbots, and intelligent workflow automation using Azure OpenAI and Semantic Kernel.
Key Responsibilities:
  • Design, develop, and maintain full stack applications using .NET Core/.NET 8, C#, Angular, and SQL Server.
  • Integrate Generative AI capabilities into enterprise applications using Azure OpenAI, Semantic Kernel, or Python-based LangChain services.
  • Build AI-powered features including chatbots, document search, RAG workflows, and intelligent process automation.
  • Develop and consume RESTful APIs and microservices that connect Angular front ends to backend AI services.
  • Design and optimize database schemas, stored procedures, and data models in SQL Server, and implement vector search using Azure AI Search or comparable stores.
  • Implement security best practices, coding standards, unit testing, and CI/CD pipelines within Agile/Scrum delivery.

Qualifications:
  • 3 years of full stack development experience with hands-on Generative AI or LLM integration work.
  • Strong expertise in C#, .NET Core/ASP.NET Core, Angular (v12+), and SQL Server.
  • Experience integrating LLMs such as Azure OpenAI, OpenAI, or Anthropic Claude into enterprise applications.
  • Hands-on experience with Semantic Kernel, LangChain, or comparable AI orchestration frameworks.
  • Proven experience developing REST APIs and microservices, with a strong grasp of object-oriented design patterns.
  • Familiarity with vector databases such as Azure AI Search, Pinecone, or ChromaDB, and deployment on Azure Cloud.

Skills:
.NET Core,C#,Angular,SQL Server,Generative AI,Azure OpenAI,LLM Integration,REST APIs,Full Stack Development

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