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Vector Databases Jobs in Raleigh, NC (NOW HIRING)

Berriehill Research

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

Experience designing vector databases and retrieval pipelines. * Experience developing MCP Servers and Clients. * Understanding of data quality management practices, including validation ...

ARA

Senior AI Technologist

Raleigh, NC · On-site

$48.75 - $63/hr

Experience designing vector databases and retrieval pipelines. * Experience developing MCP Servers and Clients. * Understanding of data quality management practices, including validation ...

Strategic Employment

AI Software Engineer

Durham, NC

Work with relational databases (PostgreSQL) and vector databases (pgvector, Pinecone, Weaviate). * Design and manage data infrastructure (Delta Lake, ClickHouse). * Strong experience with Node.js or ...

Indegene

Principal AI Architect

Raleigh, NC · On-site

Experience with LLM Mesh, RAG pipelines, vector databases, embeddings, prompt engineering, and integration * Build applications powered by LLMs (OpenAI, Claude, Mistral, etc.) using LangChain ...

New

Elsevier

Principal Software Engineer-Agentic AI

Raleigh, NC

$131K - $175K/yr

Familiarity with vector databases, embeddings, and retrieval systems. Experience integrating AI capabilities into enterprise systems and developer workflows. Knowledge of responsible AI practices ...

TEKsystems

Principal Data Scientist

Cary, NC

$50 - $85/hr

Proficiency with PyTorch, HuggingFace, LangChain/LlamaIndex, RAG, Kubernetes, and vector databases. Experience designing production‑grade ML systems with monitoring, evaluation, and observability.

RELX

Principal Software Engineer-Agentic AI

Raleigh, NC

$131K - $175K/yr

Familiarity with vector databases, embeddings, and retrieval systems. Experience integrating AI capabilities into enterprise systems and developer workflows. Knowledge of responsible AI practices ...

Scalence L.L.C.

AWS AI Platform Engineer

Raleigh, NC · On-site

... Vector databases, and Semantic search. • Strong programming skills in Python, Java, and REST APIs. • Experience with AI governance and secure AI integration patterns. • Prior work experience at ...

Strategic Employment

Senior Software Engineer

Durham, NC

$111K - $146K/yr

Experience with AI agents, LangChain, Terraform, Databricks, or vector databases. * Bonus: Strong writing and communication skills. What They Offer * Significant equity and competitive salary options.

Ethos Risk Services

IT Data Architect

Garner, NC · Remote

Experience with vector databases (e.g., OpenSearch, pgvector, Pinecone). * Understanding of data security, privacy, and disaster recovery. * Strong communication and cross-functional collaboration ...

Jaggaer

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

... vector database solutions (e.g., Pinecone, Weaviate, FAISS, Milvus) for embeddings, hybrid search, and RAG pipelines. • Leverage advanced statistical and data science techniques to extract ...

Jaggaer

Architect, Data AI

Durham, NC

$61.50 - $79.25/hr

Architect and manage vector database solutions (e.g., Pinecone, Weaviate, FAISS, Milvus) for embeddings, hybrid search, and RAG pipelines. Leverage advanced statistical and data science techniques to ...

Jaggaer

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

... vector database solutions (e.g., Pinecone, Weaviate, FAISS, Milvus) for embeddings, hybrid search, and RAG pipelines. • Leverage advanced statistical and data science techniques to extract ...

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Showing results 1-20

All JobsVector Databases JobsVector Databases Jobs in Raleigh, NC

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?

AspectVector DatabasesData Engineers
Required SkillsDatabase management, data modeling, query optimizationData pipeline development, ETL processes, programming
Work EnvironmentData storage systems, AI/ML projects, cloud platformsData infrastructure, cloud environments, big data tools
Industry UsageAI, machine learning, recommendation systemsData 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 Raleigh, NC? For Vector Databases jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Vector Databases jobs in Raleigh, NC look for? The top searched job categories for Vector Databases jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Vector Databases jobs? Cities near Raleigh, NC with the most Vector Databases job openings:
Vector Databases jobs near you

Sr. Java Full Stack Engineer (RCM &AI) | Hybrid | W2 Profiles

Trebecon LLC

Durham, NC • On-site

$47.50 - $61.50/hr

Other

Posted 3 days ago

Key responsibilities

  • Design, develop, test, and maintain enterprise-grade Java applications and microservices.

  • Build and enhance healthcare Revenue Cycle Management solutions, ensuring scalability and performance.

  • Develop and integrate RESTful and SOAP-based APIs with internal and external systems.

Job description

Role: Sr. Java Full Stack Engineer (RCM & AI)
Location: Durham, NC - Hybrid
Key Responsibilities
  • Design, develop, test, and maintain enterprise-grade Java applications and microservices.
  • Build and enhance healthcare Revenue Cycle Management (RCM) solutions, ensuring scalability and performance.
  • Develop and integrate RESTful and SOAP-based APIs with internal and external systems.
  • Utilize AI-assisted development tools such as Claude, Cursor, or similar platforms to improve development productivity.
  • Design and implement Generative AI solutions using RAG, LLMs, LangChain, vector databases, and related technologies.
  • Collaborate with product owners, architects, and business stakeholders to gather requirements and deliver solutions.
  • Develop secure and scalable applications using Spring Boot, Spring MVC, Spring Security, Spring Integration, and Spring Core.
  • Participate in cloud migration and cloud-native application development using AWS, Azure, or Google Cloud Platform.
  • Troubleshoot production issues and optimize application performance.
  • Follow Agile/Scrum methodologies and contribute to CI/CD pipelines and DevOps practices.
Required Qualifications
  • 7–10+ years of hands-on experience in Java development.
  • 3+ years of experience working within the Revenue Cycle Management (RCM) domain.
  • Strong expertise in: Java 8/11/17+, Spring Core, Spring Boot, MVC, Security, Integration
  • Advanced experience implementing and consuming: REST APIs, SOAP Web Services
  • Experience with AI-assisted development tools such as Claude, Cursor, GitHub Copilot, or equivalent.
  • Experience implementing Generative AI solutions using: LLMs, RAG, LangChain, Prompt Engineering, Vector Databases.
  • Experience with cloud platforms: AWS, Google Cloud Platform, Azure
  • Strong understanding of Microservices Architecture.
  • Experience with SQL and NoSQL databases.
  • Familiarity with Git, CI/CD pipelines, and DevOps practices.
 
Preferred Qualifications
  • Healthcare industry experience.
  • Knowledge of healthcare claims, billing, coding, payments, denials, and reimbursement processes.
  • Experience with containerization technologies such as Docker and Kubernetes.
  • Exposure to event-driven architectures and messaging frameworks.
  • Experience working in enterprise-scale distributed systems.

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