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Vector Databases Jobs in Garden Grove, CA (NOW HIRING)

Abode TechZone, LLC

Sr. Database Engineer

Irvine, CA · On-site

$112K - $152K/yr

Design and implement specialized data storage solutions, such as vector databases (Amazon OpenSearch, pgvector), to support Generative AI and RAG-based applications. • Set the Standards: Define and ...

Ingram Micro, Inc.

Software Engineer - AI

Irvine, CA · On-site

$110 - $130/hr

Develop Retrieval Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge stores. * Implement prompt engineering, context engineering, memory management, and ...

Staffingine LLC

AI Architect

Torrance, CA · On-site

$65.75 - $86.75/hr

Develop advanced RAG pipelines leveraging vector databases Chroma DB Milvus FAISS and embedding strategies for contextual accuracy * Integrate AI capabilities with enterprise systems via REST and ...

Ingram Micro

Software Engineer - AI

Irvine, CA · On-site

$98.60 - $157.80/hr

  • Medical

  • Life

  • Retirement

  • PTO

Develop Retrieval Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge stores.* Implement prompt engineering, context engineering, memory management, and multi ...

The Bronx

Senior Full Stack AI Engineer

West Covina, CA · On-site

$180 - $210/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop AI-powered features involving LLMs, RAG, embeddings, vector databases, and AI agents as needed * Monitor and improve application reliability, performance, security, and cost QUALIFICATIONS ...

CYNET SYSTEMS

AI Scientist / AI Architect

Irvine, CA · On-site

$75 - $80/hr

Strong expertise in retrieval-based systems (RAG, vector databases, embeddings, indexing). * Experience with API development and backend system integration. * AWS cloud-native development experience.

Appex Innovation

AI Architect

Irvine, CA · Hybrid

... vector databases, embeddings, indexing) Experience with API development and backend system integration AWS cloud-native development experience Experience with CI/CD pipelines and environment ...

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All JobsVector Databases JobsVector Databases Jobs in Garden Grove, CA

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 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 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 popular job titles related to Vector Databases jobs in Garden Grove, CA?

For Vector Databases jobs in Garden Grove, CA, the most frequently searched job titles are:

What job categories do people searching Vector Databases jobs in Garden Grove, CA look for?

The top searched job categories for Vector Databases jobs in Garden Grove, CA are:

What cities near Garden Grove, CA are hiring for Vector Databases jobs?

Cities near Garden Grove, CA with the most Vector Databases job openings:

Vector Databases jobs near you
Infographic showing various Vector Databases job openings in Garden Grove, CA as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 64% In-person, and 36% Remote job distribution.

Sr. Database Engineer

Abode TechZone, LLC

Irvine, CA • On-site

$112K - $152K/yr

Full-time

Re-posted 6 days ago

Job description

Job Summary:
Abode TechZone, LLC is seeking a Sr. Database Engineer to lead the design of high-performance data environments. The role involves architecting scalable data systems, engineering database automation, and optimizing performance while guiding clients towards modern cloud-native database architectures.
Responsibilities:
• Architect Scalable Data Systems: Design and oversee the implementation of enterprise-scale relational (RDS, Aurora) and NoSQL (DynamoDB, DocumentDB) database architectures.
• Engineer Database Automation: Develop 'Database-as-Code' using Terraform or CloudFormation to automate provisioning, scaling, and recovery processes across multi-region environments.
• Optimize for Performance: Act as the final authority on complex performance tuning, including query optimization, indexing strategies, and hardware-level bottleneck analysis.
• Modernize for AI: Design and implement specialized data storage solutions, such as vector databases (Amazon OpenSearch, pgvector), to support Generative AI and RAG-based applications.
• Set the Standards: Define and enforce best practices for data modeling, security (encryption at rest/transit), and high-availability/disaster recovery (RPO/RTO) across the practice.
• Lead & Mentor: Act as a technical mentor for junior engineers, leading deep-dive design reviews and fostering a culture of operational excellence.
Qualifications:
Required:
• 8-12+ years in database administration or engineering, with at least 4+ years in a Senior Engineering role focusing on cloud environments
• Expert-level knowledge of the AWS database ecosystem (Aurora, RDS, DynamoDB, Redshift)
• Proven mastery of Python and Advanced SQL for automation and sophisticated data manipulation
• Deep experience with Terraform or AWS CDK to manage database infrastructure
• Expert-level understanding of both relational and non-relational data modeling techniques
• Exceptional skills in leading technical workshops and translating ambiguous business needs into high-performance technical designs
• A 'builder' mindset with a focus on impact, ownership, and the agility to solve 'unsolvable' technical challenges
Preferred:
• AWS Certified Database – Specialty or AWS Certified Solutions Architect – Professional
• Experience with vector databases and preparing data pipelines for LLM integration
• Experience in a Professional Services or global consulting environment
Company:
Abode TechZone LLC is fast growing staffing corporation, business growth depends on putting the right people in place — the professional talent that sets your organization apart from the competition. Founded in 2019, the company is headquartered in New York, USA, with a team of 11-50 employees. The company is currently Early Stage.
Abode TechZone logo

About Abode TechZone

Sourced by ZipRecruiter

Abode is fast-growing staffing corporation, business growth depends on putting the right people in place — the professional talent that sets your organization apart from the competition. Abode’s vision is to provide best ever IT’s Staff Solutions services with an effective strategy which can address market fluctuations in key areas, such as time, cost, risk, flexibility, control, and expertise. We target to connect our partners with the best professional talent you need.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

New York, NY, US

Year founded

2019

Social media

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