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Vector Databases Jobs in Palmdale, CA (NOW HIRING)

Senior Software Engineer

Los Angeles, CA ยท On-site

$132K - $174K/yr

Proven experience architecting RAG systems leveraging LLMs, vector databases, embeddings, and semantic search, with expertise in prompt engineering, document processing, retrieval optimization, and ...

Deep, hands-on understanding of modern AI system architectures, LLM orchestration frameworks (e.g., LangChain, LlamaIndex), vector databases, secure API design, and distributed full-stack application ...

Cloud Engineer

Los Angeles, CA ยท On-site

$128K - $298K/yr

... and vector databases/search, prompt/version management, and evaluation/guardrails for safety and groundedness. โ€ข Responsible AI + governance experience for regulated environments: PHI/PII ...

Senior Software Engineer

Los Angeles, CA ยท On-site

$132K - $174K/yr

Proven experience architecting RAG systems leveraging LLMs, vector databases, embeddings, and semantic search, with expertise in prompt engineering, document processing, retrieval optimization, and ...

Senior Software Engineer

Los Angeles, CA ยท On-site

$132K - $174K/yr

Proven experience architecting RAG systems leveraging LLMs, vector databases, embeddings, and semantic search, with expertise in prompt engineering, document processing, retrieval optimization, and ...

Senior Software Engineer

Los Angeles, CA ยท On-site

$132K - $174K/yr

Proven experience architecting RAG systems leveraging LLMs, vector databases, embeddings, and semantic search, with expertise in prompt engineering, document processing, retrieval optimization, and ...

Vector databases and RAG: embeddings, retrieval pipelines, semantic search Intelligence and Signal Layer * Experience ingesting and fusing data from multiple external sources: social APIs (X ...

AI Infra Engineer

Los Angeles, CA ยท Remote

$90K - $150K/yr

Vector databases and RAG: embeddings, retrieval pipelines, semantic search Intelligence and Signal Layer * Experience ingesting and fusing data from multiple external sources: social APIs (X ...

Senior AI Engineer

Los Angeles, CA ยท On-site

$170K - $200K/yr

Experience with vector databases, embeddings, or semantic search is a plus Our Stack * Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited) * Datastores: MySQL, PostgreSQL ...

Senior AI Engineer

Los Angeles, CA ยท On-site

$170K - $200K/yr

Experience with vector databases, embeddings, or semantic search is a plus Our Stack * Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited) * Datastores: MySQL, PostgreSQL ...

Showing results 41-60

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 Palmdale, CA? For Vector Databases jobs in Palmdale, CA, the most frequently searched job titles are:
What job categories do people searching Vector Databases jobs in Palmdale, CA look for? The top searched job categories for Vector Databases jobs in Palmdale, CA are:
What cities near Palmdale, CA are hiring for Vector Databases jobs? Cities near Palmdale, CA with the most Vector Databases job openings:

Senior Software Engineer

Re:Build Manufacturing

Los Angeles, CA โ€ข On-site

$132K - $174K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


Job description

About Re:Build Manufacturing

Re:Build Manufacturing is a growing family of industrial and engineering businesses combining enabling technologies, operational superiority, and strategic M&A to build America's next generation industrial company. At Re:Build we deploy deep expertise in engineering, operations management, and technology to supercharge the performance of our member companies. We leverage deep professional expertise and a candid, principled operating culture to drive differentiated outcomes. Ours is a fast-paced environment where individuals can stretch and be challenged to pursue their fullest potential.

Re:Build was founded to pioneer a profitable model for the revitalization of US manufacturing. We've assembled a powerful set of complimentary capabilities and lines of business that enable us to pursue a wide range of end markets. Our acquired businesses are grounded in build-to-print and by-the-hour engineering and design services, and we're leveraging their combined expertise to migrate to increasingly sophisticated program development and production, as well as the generation of our own products. Our unique set of capabilities lend themselves to highly complex systems and products, and we offer customers a range of services including product and systems design, automation, fabrication, assembly, and large volume contract manufacturing. Our customers span a wide array of industries including aerospace, defense, mobility, healthcare, pharma, biotech, clean tech, chemicals, energy, lifestyle, food production, and industrial equipment.

Who we are looking for

Theย Senior Software Engineer is a key technical contributor who designs, develops, and scales cloud-native software solutions that power Re:Build's digital platforms. In line with The Re:Build Way, this role combines deep hands-on engineering with thoughtful architectural influence, emphasizing ownership, accountability, and long-term system health.

You will collaborate closely with product, design, and cross-functional engineering partners, working in a candid and respectful manner to solve real business problems. You bring a practical, outcome-driven mindset to innovation, thoughtfully integrating emerging technologies such as AI/ML where they add measurable value, and delivering high-quality software that balances speed, reliability, and maintainability.

The ideal candidate thrives in complex environments, approaches challenges with curiosity and discipline, and holds themselves and others to high engineering standards. You champion clean, efficient, and testable code, actively participate in code reviews, and contribute to team growth through mentorship and knowledge sharing. Guided by a mindset of continuous improvement, you stay current with industry trends and help shape Re:Build's technology roadmap-ensuring our systems remain scalable, secure, and built to endure.

What you get to do!
  • Lead the design and architecture of software systems, ensuring scalability, reliability, and high performance.
  • Solve complex technical challenges and optimize system performance through innovative solutions.
  • Mentor and guide junior engineers, providing technical leadership and direction to help them grow.
  • Ability to write and maintain technical documentation.
  • Collaborate with cross-functional teams, including product, QA, and operations, to drive product development and ensure successful delivery
  • Adhere to Best Practices with company software
Must-Have Qualifications

Experience

  • 7+ years' experience developing professional software, with a solid understanding of cloud-based application development.

Programming & Frameworksย 

  • Strong full-stack development expertise with modernย backend technologiesย andย frontend frameworksย (especiallyย React/TypeScript), with demonstrated ability to build scalable, accessible, high-performance web applications across diverse technology stacks.

Cloud & Infrastructure

  • Strong experienceย architecting and deploying cloud-native, serverless, and containerized applicationsย onย AWSย (Lambda, ECS, DynamoDB, S3, Step Functions, API Gateway, Fargate).

AI/ML Integration

  • Proven experience architectingย RAG systemsย leveragingย LLMs, vector databases, embeddings,ย and semantic search, with expertise in prompt engineering, document processing, retrieval optimization, and production deployment.

APIs & Integration

  • Proficiency in designing and working withย RESTful and GraphQL APIs.

Security & Compliance

  • Awareness ofย authentication, authorization, encryption, andย compliance best practicesย for cloud-hosted applications.

Foundational Knowledge

Agile Practices

  • Hands-on experience participating inย Agile ceremoniesย such as sprint planning, retrospectives, and cross-team collaboration.
Personal & Professional Attributes
  • Bringsย enthusiasm, optimism, and a can-do attitudeย to every project.
  • Leads by example-mentors junior developers, supports peers, and takes ownership of key technical decisions with confidence and humility.
  • Analytical and inventive, able to break down complex technical challenges and design innovative, efficient solutions.
  • Adaptable and resilient, skilled at navigating shifting priorities, new technologies, and evolving business needs.
  • Communicates clearly and thoughtfully, fostering trust and alignment across teams.
  • Highly organized, focused, and effective in fast-paced, dynamic environments.
  • Exhibitsย strong problem-solving skillsย with consistent attention to detail and quality.
  • Aย collaborative teammateย who works seamlessly across engineering, management, and cross-functional partners.
Locationย  / Travelย 
  • ย We are seeking candidates who currently reside in the Seattle, WA or Los Angeles, CA metropolitan areas.
  • ย Quarterly travel to our downtown Los Angeles office is required.

The base salary range for this position is $136,000- $169,000 per year. This range represents the Company's good faith estimate of the base compensation for this role at the time of posting.ย  Actual compensation will be determined based on several factors, including but not limited to relevant experience, skills, qualifications, internal equity, and geographic location. In addition to base salary, this role may be eligible for annual incentive compensation and/or long-term incentives, subject to Company plans. The Company offers a comprehensive benefits package including medical, dental, vision, retirement, paid time off, and other benefits.

Travel Requirement:
  • Quarterly travel to the Los Angeles, CA office is required for team meetings.ย 

The BIG payoff

We are a company who is going to make a difference in the industries and the communities in which we choose to operate.

Every employee of Re:Build will share ownership in the company and will share in the financial rewards of the success we achieve together, at all levels of the company!

We want to work with people that reflect the communities in which we operate

Re:Build Manufacturing is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure and life experiences. Or for any other reason.

Re:Build is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations.ta@ReBuildmanufacturing.com or you may call us at 617.909.6275.