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Pinecone Vector Databases Jobs in Springboro, OH

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.

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 ...

All JobsPinecone Vector Databases JobsPinecone Vector Databases Jobs in Springboro, OH

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 cities near Springboro, OH are hiring for Pinecone Vector Databases jobs? Cities near Springboro, OH with the most Pinecone Vector Databases job openings:
Pinecone Vector Databases jobs near you

Technical Specialist-App Development

Birlasoft

Kettering, OH • On-site

$45 - $58.25/hr

Full-time

Posted 23 days ago

Job description

Area(s) of responsibility
Job Title: Senior Java Backend Developer (AI & Microservices)
REMOTE
FULLTIME
Role Overview
We are seeking an experienced and innovative Senior Java Backend Engineer to design, build, and scale our enterprise applications. In this role, you will bridge the gap between traditional Java backend systems and modern Artificial Intelligence. You will lead the integration of Generative AI models, vector databases, and autonomous AI agents to drive our next-generation product features.
Key Responsibilities
  • Backend Development: Design, develop, and optimize high-throughput Spring Boot microservices and RESTful APIs ensuring high performance, scalability, and reliability.
  • AI/LLM Integration: Integrate Large Language Models (LLMs) and ML models into existing enterprise systems using Java-native AI frameworks (e.g., Spring AI, LangChain4j).
  • Agentic Workflows & Data: Implement Retrieval-Augmented Generation (RAG) and Agentic AI patterns, autonomously connecting AI systems with internal enterprise data and external APIs.
  • 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.
  • Architecture & Leadership: Participate in architectural decisions, collaborate with cross-functional teams, mentor junior developers, and enforce clean code standards.
  • AI-Augmented Workflows: Utilize modern AI coding assistants (e.g., GitHub Copilot, Cursor) to enhance coding efficiency, testing, and documentation.

Qualifications & Skills
  • Experience: 5 to 8 years of professional experience in software engineering with a strong focus on backend development.
  • Core Languages: Deep expertise in Core Java, Java 17+, and the Spring ecosystem (Spring Boot, Spring Cloud, Spring Security).
  • AI & ML Exposure: Hands-on experience integrating AI/ML models into production applications. Familiarity with Spring AI, LangChain4j, or AI platform APIs is strongly preferred.
  • Data Management: Advanced knowledge of writing SQL queries, performance tuning, and working with NoSQL or Vector databases.
  • System Design: Solid understanding of microservices architecture, message brokers (Kafka, RabbitMQ), and cloud environments (AWS, Azure, or GCP).
  • Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field (or equivalent practical experience)

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