1

Vector Databases Jobs in El Cajon, CA (NOW HIRING)

AI Engineer

San Diego, CA · Remote

$50 - $58/hr

Knowledge of vector databases, semantic search, and information retrieval. * Experience building REST APIs and microservices. * Experience with Docker and cloud-based application deployment. Nice to ...

AI Engineer

San Diego, CA · On-site

$140K - $150K/yr

Build and maintain data pipelines, vector databases, and AI infrastructure for production systems * Develop backend APIs and integrations using Python and SQL to embed AI capabilities into business ...

AI Engineer

San Diego, CA · On-site

$140K - $150K/yr

Build and maintain data pipelines, vector databases, and AI infrastructure for production systems * Develop backend APIs and integrations using Python and SQL to embed AI capabilities into business ...

AI Engineer

San Diego, CA · On-site

$140K - $150K/yr

Build and maintain data pipelines, vector databases, and AI infrastructure for production systems * Develop backend APIs and integrations using Python and SQL to embed AI capabilities into business ...

ERP AI Engineer - Manager

San Diego, CA · 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 ...

Senior Engineer - Machine Learning

San Diego, CA · On-site

$110K - $152K/yr

Vector databases and search systems (OpenSearch, Qdrant, etc.) * Cost-aware system design - model routing (small vs. large models), dynamic batching, and caching strategies Qualcomm is an equal ...

Senior Engineer - Machine Learning

San Diego, CA · On-site

$110K - $152K/yr

Vector databases and search systems (OpenSearch, Qdrant, etc.) * Cost-aware system design - model routing (small vs. large models), dynamic batching, and caching strategies Qualcomm is an equal ...

Vector databases and search systems (OpenSearch, Qdrant, etc.). * Cost-aware system design - model routing (small vs. large models), dynamic batching, and caching strategies. Pay range and Other ...

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 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 job categories do people searching Vector Databases jobs in El Cajon, CA look for?

The top searched job categories for Vector Databases jobs in El Cajon, CA are:

What cities near El Cajon, CA are hiring for Vector Databases jobs?

Cities near El Cajon, CA with the most Vector Databases job openings:

Software Engineer - Apple Services Engineering

Apple Inc.

San Diego, CA • On-site

$200 - $250/hr

Other

Medical, Dental, Retirement

Posted 12 days ago


Key responsibilities

  • Design, build, and operate highly scalable backend services, internal platforms, APIs, data pipelines, and AI-powered applications.

  • Collaborate with product managers, engineers, and business stakeholders to define technical solutions for complex business problems.

  • Monitor production systems, troubleshoot complex issues, and drive improvements to reliability, observability, and performance.


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Cupertino, California, United States Software and Services

Description

What happens when the world’s most innovative engineers collaborate with the world’s most creative storytellers? TV gets reinvented. Meet the re-inventors: Apple Services' Media Engineering (ASE Media).ASE Video teams have embarked on a journey to build the next-generation sports and media experience. In the ASE Video teams, we work every day to create products that enrich people’s lives. The teams build and manage the Apple TV app as well as tvOS, which redefined and refined the way people watch movies, TV shows, sports, and so much more. The ASE Video group is looking for a Software Engineer to join our Universal Media Engineering team. The Universal Media Engineering team leads the data platform and related tools that power the Apple TV app.We are looking for enthusiastic, self-starting individuals who can bring new ideas and innovations to the platform and push the boundaries of scalability, latency, and quality. We're looking for a software engineer who is passionate about building highly scalable backend systems, developing internal platforms, and applying modern AI technologies to solve complex engineering problems. Does this sound like you? If so, we want to speak with you.As a software engineer, you will be responsible for designing and building services that directly impact millions of users. You'll collaborate closely with a diverse set of teams that include engineering, project management, business operations, design, and curation, working towards a common vision of delivering the best possible Apple TV experience for our customers.Beyond delivering production-quality software, you'll play an important role in accelerating the adoption of AI-powered development practices and intelligent applications. You'll identify opportunities to incorporate generative AI into products, engineering workflows, and operational processes, helping teams deliver software faster, improve reliability, and unlock new capabilities.

Responsibilities
  • Design, build, and operate highly scalable backend services, internal platforms, APIs, data pipelines, and AI-powered applications that improve operational efficiency and automate business workflows.
  • Collaborate with product managers, engineers, and business stakeholders to define technical solutions for complex business problems.
  • Partner with engineering teams to identify opportunities where AI can improve developer productivity, software quality, and operational efficiency.
  • Participate in architecture and design discussions, balancing long-term technical strategy with pragmatic delivery.
  • Prototype, evaluate, and productize AI-powered capabilities, including intelligent workflows, operational and developer tooling.
  • Write high-quality, well-tested, and maintainable code and continuously raise the engineering quality bar.
  • Monitor production systems, troubleshoot complex issues, and drive improvements to reliability, observability, and performance.
  • Champion the adoption of AI-assisted engineering practices by sharing best practices, evaluating new technologies, and helping teams integrate AI into their day-to-day development processes.
Minimum Qualifications
  • 5+ years of professional software engineering experience, with demonstrated ability to own features throughout the software development lifecycle, from design and development through production support.
  • Experience designing and developing scalable, highly observable, and resilient backend services and RESTful APIs.
  • Strong proficiency in Java (and one or more backend programming languages such as Kotlin, Go, or Python).
  • Solid understanding of distributed systems, concurrency, networking, and service-oriented architectures.
  • Experience with databases, data modeling, and cloud-native application development.
  • Experience with containerized applications, CI/CD pipelines, and modern software development practices.
  • Hands‑on experience building production applications powered by Large Language Models (LLMs), including integrating models into backend services and working with concepts such as prompting, retrieval, structured outputs, or tool/function calling.
  • Strong analytical, communication, and collaboration skills.
  • Ability to solve problems given incomplete or partial data and/or requirements.
  • Driven to deliver high‑quality solutions consistently and quickly.
  • Bachelor’s degree in CS/CE/EE or a related technical field, or equivalent industry experience.
Preferred Qualifications
  • Familiarity with one or more of these technologies: NoSQL databases (Cassandra, DynamoDB), messaging systems (Kafka/RabbitMQ), Solr/Elasticsearch, Redis, SQL (PostgresSQL, MySQL), Spring Framework/Spring Boot, Docker, Kubernetes etc.
  • Experience building advanced LLM applications using Retrieval-Augmented Generation (RAG), vector databases, semantic search, AI agents, and production‑grade evaluation and guardrails.
  • Experience integrating foundation models through platforms such as OpenAI, Anthropic, Google Gemini, Azure OpenAI, AWS Bedrock, Hugging Face, or self-hosted open‑source models.
  • Experience evaluating AI systems using model evaluation frameworks, prompt testing, guardrails, observability, and performance benchmarking.
  • Experience mentoring peers and influencing technical direction through collaboration, technical leadership, and knowledge sharing.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

#J-18808-Ljbffr

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976