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Pinecone Vector Databases Jobs in Tennessee (NOW HIRING)

Ztek Consulting INC

AI/ML Engineer

Franklin, TN · On-site

... vector databases (Pinecone, Weaviate, pgvector) and graph databases (Neo4j). • Build and maintain ETL/ELT pipelines using AWS Glue or Apache Spark for data processing. • Ensure performance ...

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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.

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Pinecone Vector Databases jobs near you

AI/ML Engineer

Ztek Consulting INC

Franklin, TN • On-site

Contractor

Posted 22 days ago

Job description

Job Title: AI/ML Engineer 
Duration:12 months
Location: Onsite at Franklin, TN
Work Type:  Contract - W2
Rate: Pay range offered to a successful candidate will be based on several factors, including the candidate's education, work experience, work location, specific job duties, certifications, etc.

 • Candidate should have 6+ years of hands-on experience in backend development with Python and AWS-based environments.
• Design, develop, and maintain scalable backend systems using Python frameworks (FastAPI, Django, Flask).
• Build and optimize RESTful APIs with strong adherence to best practices and performance standards.
• Develop asynchronous applications using async/await for high-performance and concurrent processing.
• Design and optimize PostgreSQL databases, including complex queries, indexing, and schema design.
• Implement and manage microservices-based architectures ensuring scalability, reliability, and fault tolerance.
• Deploy and manage applications on AWS cloud (EC2, S3, Lambda, EKS, Glue).
• Containerize applications using Docker and orchestrate using Kubernetes (EKS).
• Build and maintain CI/CD pipelines using Jenkins, GitLab, or GitHub Actions.
• Integrate AI/ML capabilities using OpenAI APIs and LangChain or similar frameworks.
• Develop features like semantic search, embeddings, and LLM-powered workflows.
• Work with vector databases (Pinecone, Weaviate, pgvector) and graph databases (Neo4j).
• Build and maintain ETL/ELT pipelines using AWS Glue or Apache Spark for data processing.
• Ensure performance optimization, data quality, and system observability across services.
Required Skills:
1. Strong Python Backend Development
• Expertise in FastAPI / Django / Flask
• Experience building REST APIs, async programming, and scalable backend services
• Strong understanding of SQLAlchemy and database integration
2. AI / ML & LLM Integration (Must Have)
• Hands-on experience with OpenAI APIs, LangChain, or similar frameworks
• Knowledge of prompt engineering, embeddings, and semantic search
• Experience with vector databases (Pinecone, Weaviate, pgvector
3. AWS Cloud & Microservices Architecture
• Strong hands-on experience with AWS services (EC2, S3, Lambda, EKS, Glue)
• Experience with Docker, Kubernetes, and CI/CD pipelines
• Solid understanding of microservices, distributed systems, and system design
Nice to Have Skills:
• Frontend experience with React, JavaScript/TypeScript, Redux
• Experience with Neo4j or graph databases
• Data engineering exposure (ETL pipelines, Spark, data quality)
 
ABOUT Ztek: 
Website: www.ztekinc.com
Ztek Consulting Inc is a minority- and woman-owned business enterprise that leverages a unique blend of human talent, machine learning algorithms, and artificial intelligence to provide customized talent management solutions for clients. Ztek’s diversity-focused hiring models have proven successful, particularly in hiring veterans. The company's veteran-focused hiring and deployment program, Z-V.E.T, matches skilled veterans with clients' needs in various areas.
Disclaimer:
Ztek is an Equal Opportunity Employer and prohibits any kind of unlawful discrimination and harassment. Ztek is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment on the basis of race, color, religion or belief, national origin, citizenship, social or ethnic origin, sex, age, physical or mental disability, veteran status, marital status, domestic partner status, sexual orientation, or any other status protected by the statutes, rules, and regulations in the locations where it operates.If you are an individual with a disability and need a reasonable accommodation to assist with your job search or application for employment, please contact us at hrd@ztekinc.com Please indicate the specifics of the assistance needed. Ztek encourages all interested and qualified candidates to apply for employment opportunities. Ztek does not discriminate against applicants based on citizenship status, immigration status, or national origin, in accordance with 8 U.S.C. 1324b.