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

Teradata Group

Senior Staff AI Engineer

San Diego, CA · On-site

$150 - $180/hr

Design and implement production‑grade AI systems using LLMs, embeddings, vector databases, and agent‑based architectures. * Build scalable, secure, and reusable platform services and APIs ...

Teradata

Senior Staff AI Engineer - 220323

San Diego, CA · On-site +1

$199K - $249K/yr

Design and implement production grade AI systems using LLMs, embeddings, vector databases, and agent based architectures. * Build scalable, secure, and reusable platform services and APIs supporting ...

Qualcomm

AI Systems Hardware Engineer

San Diego, CA · On-site

The focus is on identifying the system and technology bottlenecks for the state-of-the-art and emerging AI workloads e.g. the mixture-of-experts (MoE), multi-tenant vector databases, multimodal ...

PlayStation Global

AI Engineer

San Diego, CA · On-site

Contribute to RAG and agentic retrieval pipelines over enterprise content and operational data using embeddings, vector databases, hybrid search, reranking, citations, access controls, and freshness ...

PlayStation Global

AI Engineer

San Diego, CA · On-site

Contribute to RAG and agentic retrieval pipelines over enterprise content and operational data using embeddings, vector databases, hybrid search, reranking, citations, access controls, and freshness ...

Teradata

Director - AI Engineering - 220078

San Diego, CA · On-site +1

$248K - $310K/yr

Hands-on experience with LLMs, agent frameworks, orchestration tools, vector databases, and retrieval‑augmented pipelines. * Strong background in distributed systems, cloud-native development, and ...

The Goal Family of Companies

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 ...

Goal Solutions

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 ...

The Goal Family of Companies

AI Engineer

San Diego, CA

$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 ...

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All JobsVector Databases JobsVector Databases Jobs in El Cajon, 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 are popular job titles related to Vector Databases jobs in El Cajon, CA? For Vector Databases jobs in El Cajon, CA, the most frequently searched job titles 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:
Vector Databases jobs near you

Senior AI Software Engineer

Accenture Federal Services

San Diego, CA • On-site

$130K - $171K/yr

Full-time

Re-posted 23 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

44th of 485 rated business services

Job description

Job Description:

We are looking for a Senior AI / Software Platform Engineer to help drive the integration of AI-assisted development workflows into a large-scale enterprise Linux environment.

This role is focused on practical AI application within software engineering, including code intelligence, developer tooling, requirements-driven development, and AI-assisted modernization of a large legacy codebase consisting primarily of C/C++ with additional modern languages and frameworks.

The ideal candidate is a strong software engineer first, with hands-on experience integrating and operationalizing modern AI/LLM technologies within real-world development environments.

Environment:

  • Large enterprise software platform (~6M+ LOC)
  • Primarily C/C++
  • Red Hat Enterprise Linux environment
  • GitLab-based development workflows
  • GPU-enabled internal AI infrastructure
  • Complex legacy and modern hybrid systems

Responsibilities:

  • Design, develop, and deploy scalable AI/ML and LLM-powered applications in production environments
  • Build and optimize high-performance inference pipelines using technologies such as vLLM and modern GPU-serving frameworks
  • Develop agentic AI workflows leveraging orchestration frameworks, tool calling, and retrieval-augmented generation (RAG)
  • Integrate LLMs, vector databases, APIs, and enterprise systems into production applications
  • Collaborate with software engineers, AI researchers, and platform teams to productionize AI prototypes and services
  • Improve model performance, throughput, latency, scalability, and operational efficiency
  • Implement monitoring, observability, evaluation, and testing frameworks for AI systems
  • Develop APIs, backend services, and automation workflows supporting AI-driven products
  • Evaluate emerging AI technologies, frameworks, and developer tooling including Open Code, OpenwebUI, Claude Code and modern AI coding assistants
  • Contribute to AI platform architecture, deployment standards, and engineering best practices

Required Skills:

  • 4 years of software development with experience in any of the following:
    • Strong Linux experience (Red Hat / Enterprise Linux required)
    • Experience with LLMs, RAG systems, embeddings, or AI-assisted tooling
    • Advanced C/C++ experience
    • Experience with GitLab workflows and CI/CD
    • Strong Python development experience
    • Experience with APIs, backend systems, and automation
    • Strong understanding of software architecture and large-scale systems

Preferred Skills:

  • GPU infrastructure experience
  • Experience deploying or operating local/open-source models
  • Experience with vector databases and semantic search
  • Experience with developer tooling or IDE integrations
  • Experience with AI evaluation/testing frameworks
  • Experience with secure/offline AI environments
  • Familiarity with code indexing and static analysis systems
  • Ability to work independently and drive technical initiatives
  • Strong debugging and problem-solving skills
  • Experience working with legacy systems and modernization efforts

Clearance:

  • Must have an active secret federal security clearance

What Accenture Federal Services employees say

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Hours and flexibility

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