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Vector Databases Jobs in Maywood, CA (NOW HIRING)

Carter Support Services

AI/ML Engineer

Burbank, CA · On-site

$111K - $153K/yr

Implement vector search solutions using vector databases or MongoDB * Ensure CI/CD integration and cloud deployment (Azure preferred) * Establish observability, monitoring, and evaluation frameworks ...

Carter Support Services

AI/ML Engineer

Burbank, CA · On-site

Implement vector search solutions using vector databases or MongoDB * Ensure CI/CD integration and cloud deployment (Azure preferred) * Establish observability, monitoring, and evaluation frameworks ...

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 ...

Accenture

Knowledge Engineer - Back End

Los Angeles, CA · On-site

Deploy, configure, and maintain vector database infrastructure for embedding storage, indexing, and semantic retrieval at scale. * Design and maintain scalable graph query APIs consumed by internal ...

SCAN Group

Principal AI Architect

Lakewood, CA · On-site

$147.90 - $254.80/hr

Oversee vector database design (Azure AI Search or equivalent) and integration with Snowflake/Fabric data hubs.Implement high-availability, cost-optimized compute and storage strategies for AI ...

East West Bank

Senior AI Engineering

Pasadena, CA · On-site

$150 - $275/hr

Practical experience with prompt engineering, RAG, embeddings, vector databases, LLM orchestration frameworks, agentic workflows, evaluation frameworks, and hallucination mitigation. * Ability to ...

East West Bank

Senior AI Engineering

Pasadena, CA

$114K - $156K/yr

Practical experience with prompt engineering, RAG, embeddings, vector databases, LLM orchestration frameworks, agentic workflows, evaluation frameworks, and hallucination mitigation. * Ability to ...

East West Bank

Senior AI Engineering

Pasadena, CA · On-site

$150K/yr

Practical experience with prompt engineering, RAG, embeddings, vector databases, LLM orchestration frameworks, agentic workflows, evaluation frameworks, and hallucination mitigation. * Ability to ...

Vast

Staff Data Architect

Long Beach, CA

$155K - $221K/yr

Evaluate and implement cutting-edge data technologies including cloud-native services, vector databases, and modern data stack tools * Optimize data pipelines for performance, cost-efficiency, and ...

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All JobsVector Databases JobsVector Databases Jobs in Maywood, 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 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 cities near Maywood, CA are hiring for Vector Databases jobs? Cities near Maywood, CA with the most Vector Databases job openings:
Vector Databases jobs near you
Infographic showing various Vector Databases job openings in Maywood, CA as of August 2026, with employment types broken down into 81% Full Time, 12% Part Time, 1% Temporary, and 6% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution.

Senior AI Engineer

Ruri Software Technologies LLC

Los Angeles, CA • On-site

$112K - $154K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Role:Senior AI Engineer
Woodland Hills, CA
Onsite- Hybrid
Job Description/ Responsibilities:
Role Overview:
• We are seeking a senior AI engineer to design and build production-grade LLM-powered applications and agentic systems. This role owns the end-to-end development of intelligent solutions-from architecture to deployment-leveraging Python, modern LLM frameworks, and scalable system design.
Key Responsibilities:
• Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python
• Design and implement RAG pipelines over enterprise data using embeddings and vector databases
• Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain or LangGraph
• Integrate AI systems with APIs, backend services, and cloud platforms
• Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)
Key Qualifications:
• Strong Python expertise with experience building and deploying production-grade backend systems
• Hands-on experience developing applications using LLMs, including prompt engineering and orchestration
• Proven experience with RAG architectures, embeddings, and vector databases
• Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen)
• Strong system design skills with experience building and scaling cloud-based applications
What are the top 3 skills required for this role:
1. Strong programming experience in Python, Javascript.
2. Strong exp with LangGraph, LangChain, RAG architectures, embeddings, and vector databases.
3. Strong exp with AI systems with APIs, backend services, and cloud platforms.
Years of Experience: 8.00 Years of Experience
Regards
Danyal
danyal@rurisoft.com

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