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 ...
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 ...
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 ...
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 ...
* AI/ML Expertise: 8+ years of experience, with the last 2 years in GenAI technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, Prompt Engineering, and fine-tuning.
Quick apply
* AI/ML Expertise: 8+ years of experience, with the last 2 years in GenAI technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, Prompt Engineering, and fine-tuning.
Cloud Engineer- Data/AI Focused
$100K - $160K/yr
Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases * Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex
Cloud Engineer- Data/AI Focused
$100K - $160K/yr
Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases * Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex
Cloud Engineer- Data/AI Focused
Nashville, TN · On-site
$110K - $132K/yr
Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases * Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex
Quick apply
Cloud Engineer- Data/AI Focused
Nashville, TN · On-site
$110K - $132K/yr
Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases * Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex
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 ...
Quick apply
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 ...
AI Developer
Memphis, TN · On-site +1
Evaluate and integrate LLMs, embedding models, and vector databases to support efficient and accurate retrieval and generation. Design and implement scaffolding and orchestration around LLMs ...
AI Developer
Memphis, TN · On-site +1
Evaluate and integrate LLMs, embedding models, and vector databases to support efficient and accurate retrieval and generation. Design and implement scaffolding and orchestration around LLMs ...
Junior AI Developer
Memphis, TN · On-site
$59K - $77K/yr
Evaluate and integrate LLMs, embedding models, and vector databases to support efficient and accurate retrieval and generation. * Design and implement scaffolding and orchestration around LLMs ...
Junior AI Developer
Memphis, TN · On-site
$59K - $77K/yr
Evaluate and integrate LLMs, embedding models, and vector databases to support efficient and accurate retrieval and generation. * Design and implement scaffolding and orchestration around LLMs ...
Software Developer II
Memphis, TN · On-site
This role is ideal for someone driven by impact-who wants to apply modern software engineering and AI techniques such as LLMs, retrieval-augmented generation (RAG), and vector databases in service of ...
Software Developer II
Memphis, TN · On-site
This role is ideal for someone driven by impact-who wants to apply modern software engineering and AI techniques such as LLMs, retrieval-augmented generation (RAG), and vector databases in service of ...
Junior AI Developer
Memphis, TN · On-site +1
$60K - $78K/yr
Evaluate and integrate LLMs, embedding models, and vector databases to support efficient and accurate retrieval and generation. Design and implement scaffolding and orchestration around LLMs ...
Junior AI Developer
Memphis, TN · On-site +1
$60K - $78K/yr
Evaluate and integrate LLMs, embedding models, and vector databases to support efficient and accurate retrieval and generation. Design and implement scaffolding and orchestration around LLMs ...
Design Technologist - 2026 Coop
Nashville, TN · Remote
$30 - $36/hr
Integrate LLMs, diffusion models, and vector databases into user-facing interfaces. You won't just call an API; you'll optimize prompts and RAG flows to improve the overall UX. * Bridge Design ...
Design Technologist - 2026 Coop
Nashville, TN · Remote
$30 - $36/hr
Integrate LLMs, diffusion models, and vector databases into user-facing interfaces. You won't just call an API; you'll optimize prompts and RAG flows to improve the overall UX. * Bridge Design ...
Staff Software Engineer (TN)
Nashville, TN · On-site
$170K - $220K/yr
Experience with LLMs, LangChain/LangGraph, and vector databases Salary Range - $170k-220k depending on capability level and industry experience svg]:px-3 text-sm tracking-[0.025rem] leading-[1.5rem ...
Staff Software Engineer (TN)
Nashville, TN · On-site
$170K - $220K/yr
Experience with LLMs, LangChain/LangGraph, and vector databases Salary Range - $170k-220k depending on capability level and industry experience svg]:px-3 text-sm tracking-[0.025rem] leading-[1.5rem ...
AI Platform Architect
Nashville, TN · On-site
$60/hr
Strong understanding of data grounding strategies and vector database architectures. * Experience building serverless or container-based cloud solutions. * Strong communication, analytical, and ...
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AI Platform Architect
Nashville, TN · On-site
$60/hr
Strong understanding of data grounding strategies and vector database architectures. * Experience building serverless or container-based cloud solutions. * Strong communication, analytical, and ...
Experience integrating LLMs, RAG pipelines, vector databases, and contextual memory into enterprise platforms * Experience with designing of a semantic layer and knowledge graph * Experience with ...
Experience integrating LLMs, RAG pipelines, vector databases, and contextual memory into enterprise platforms * Experience with designing of a semantic layer and knowledge graph * Experience with ...
Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. * Capable of working with GraphQL, microservices, or event-driven systems in fast-paced ...
Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. * Capable of working with GraphQL, microservices, or event-driven systems in fast-paced ...
Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. * Capable of working with GraphQL, microservices, or event-driven systems in fast-paced ...
Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. * Capable of working with GraphQL, microservices, or event-driven systems in fast-paced ...
Technical Program Manager
Memphis, TN · On-site
$125K - $162K/yr
... vector databases, and LLM-based retrieval systems is highly desirable About Us Since opening our first store in 1979, AutoZone has grown into a leading retailer and distributor of automotive parts ...
Technical Program Manager
Memphis, TN · On-site
$125K - $162K/yr
... vector databases, and LLM-based retrieval systems is highly desirable About Us Since opening our first store in 1979, AutoZone has grown into a leading retailer and distributor of automotive parts ...
AI/ML Engineer
Knoxville, TN · On-site
RAG patterns; vector databases. o Web & APIs: HTML/CSS/JS; React or Angular; Node.js/Python/Java back ends; REST/GraphQL. o DevOps/MLOps: Docker, Kubernetes, Terraform, AWS CloudFormation; CI/CD with ...
AI/ML Engineer
Knoxville, TN · On-site
RAG patterns; vector databases. o Web & APIs: HTML/CSS/JS; React or Angular; Node.js/Python/Java back ends; REST/GraphQL. o DevOps/MLOps: Docker, Kubernetes, Terraform, AWS CloudFormation; CI/CD with ...
ERP AI Engineer - Manager
Nashville, TN · On-site
$99K - $232K/yr
... with vector databases and semantic search architectures - Translating complex business problems into AI solution designs - Contributing to business development and proposal writing - Cloud ...
ERP AI Engineer - Manager
Nashville, TN · On-site
$99K - $232K/yr
... with vector databases and semantic search architectures - Translating complex business problems into AI solution designs - Contributing to business development and proposal writing - Cloud ...
Lead research and evaluation of cutting-edge AI and GenAI tools applicable to Infrastructure Operations (e.g., LLMs, vector databases, predictive analytics) * Design and prototype AI-driven systems ...
Lead research and evaluation of cutting-edge AI and GenAI tools applicable to Infrastructure Operations (e.g., LLMs, vector databases, predictive analytics) * Design and prototype AI-driven systems ...
Vector Databases information
What are vector databases?
Vector databases are specialized databases designed to store, manage, and search high-dimensional vector data, which is commonly generated from machine learning models, such as embeddings from natural language processing or image recognition. They enable efficient similarity search operations, such as finding the most similar items to a given query vector, which is essential for applications like recommendation systems, semantic search, and AI-powered search engines. Unlike traditional databases that handle structured or unstructured data, vector databases are optimized for fast and scalable similarity searches on large datasets of vectors.
What are some common challenges faced when working with vector databases, and how can they be addressed?
Professionals working with vector databases often encounter challenges such as efficiently scaling to handle large datasets, ensuring low-latency similarity searches, and integrating the database with machine learning pipelines. To address these, teams typically implement distributed architectures, fine-tune indexing strategies, and collaborate closely with data engineers and machine learning specialists. Staying updated with the latest developments in vector database technologies and maintaining clear communication with cross-functional teams are also key to overcoming these challenges.
What is the difference between Vector Databases vs Data Engineers?
| Aspect | Vector Databases | Data Engineers |
|---|---|---|
| Required Skills | Database management, data modeling, query optimization | Data pipeline development, ETL processes, programming |
| Work Environment | Data storage systems, AI/ML projects, cloud platforms | Data infrastructure, cloud environments, big data tools |
| Industry Usage | AI, machine learning, recommendation systems | Data integration, analytics, data architecture |
While Vector Databases focus on storing and querying high-dimensional vector data for AI applications, Data Engineers build and maintain data pipelines and infrastructure to support data analysis and machine learning workflows. Both roles are essential in data-driven industries but serve different functions within the data ecosystem.
What are the key skills and qualifications needed to thrive as a Vector Database Engineer, and why are they important?
Success as a Vector Database Engineer requires a strong background in computer science, database management, and experience with machine learning or AI-driven data systems. Familiarity with vector database platforms (such as Pinecone, Milvus, or Weaviate), cloud infrastructure, and proficiency in languages like Python are typically expected. Strong problem-solving skills, effective communication, and the ability to work cross-functionally help engineers stand out. These competencies are vital to efficiently design, deploy, and maintain scalable vector search solutions that power modern AI applications.
What are popular job titles related to Vector Databases jobs in Tennessee? For Vector Databases jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Vector Databases jobs in Tennessee look for? The top searched job categories for Vector Databases jobs in Tennessee are:
What cities in Tennessee are hiring for Vector Databases jobs? Cities in Tennessee with the most Vector Databases job openings:
Job description
Job Summary:
Trident Consulting is seeking an AI/ML Engineer for one of their clients in Franklin, TN. The role involves designing, developing, and maintaining scalable backend systems, building RESTful APIs, and integrating AI/ML capabilities.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Company:
Trident Consulting expertise in big data, AI & analytics, cloud, infrastructure, ERP, Java frameworks and technologies, Engineering and R&D. Founded in 2005, the company is headquartered in San Ramon, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Trident Consulting is seeking an AI/ML Engineer for one of their clients in Franklin, TN. The role involves designing, developing, and maintaining scalable backend systems, building RESTful APIs, and integrating AI/ML capabilities.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Company:
Trident Consulting expertise in big data, AI & analytics, cloud, infrastructure, ERP, Java frameworks and technologies, Engineering and R&D. Founded in 2005, the company is headquartered in San Ramon, USA, with a team of 51-200 employees. The company is currently Growth Stage.
About Trident Consulting
Sourced by ZipRecruiter
Trident Consulting is a certified 100% woman- and minority-owned staffing company, incorporated in 2005. Some of our achievements include making it to the Inc. 5000 list and Bay Area's list of Top 100 fastest growing companies.
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Dublin, CA, US
Year founded
2005