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Vector Database Job Jobs in California (NOW HIRING)

CYNET SYSTEMS

ML Engineer

Woodland Hills, CA · On-site

$56 - $61/hr

Experience working with Vector Databases and/or MongoDB. Responsibilities: * Design and develop scalable ML and Generative AI solutions. * Develop and deploy machine learning and GenAI solutions ...

Exa

Software Engineer, Intern

San Francisco, CA · On-site

$100K - $200K/yr

We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high performant vector databases to retrieve over it. We now power search ...

Ridgeline

Staff AI Data Platform Engineer

San Ramon, CA · On-site

Contribute to model provider gateways, RAG pipelines, and vector database implementations that keep Ridgeline ahead of the curve in its industry. * Raise the bar. This is an uplevel hire - you'll be ...

Zilliz

Senior Recruiter, Technical

Redwood City, CA · On-site

Zilliz is a fast-growing startup developing the industry's leading vector database for enterprise-grade AI. Founded by the engineers behind Milvus, the world's most popular open-source vector ...

Zilliz

Senior Recruiter, Technical

Redwood City, CA · On-site

Zilliz is a fast-growing startup developing the industry's leading vector database for enterprise-grade AI. Founded by the engineers behind Milvus, the world's most popular open-source vector ...

Exa

Software Engineer, Backend

San Francisco, CA · On-site

$180K - $350K/yr

We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high performant vector databases to retrieve over it. We now power search ...

Zilliz

Senior Recruiter, GTM

Redwood City, CA · On-site

Zilliz is a fast-growing startup developing the industry's leading vector database for enterprise-grade AI. Founded by the engineers behind Milvus, the world's most popular open-source vector ...

Zilliz

Senior Recruiter, GTM

Redwood City, CA · On-site

Zilliz is a fast-growing startup developing the industry's leading vector database for enterprise-grade AI. Founded by the engineers behind Milvus, the world's most popular open-source vector ...

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Showing results 21-40

All JobsVector Database Job JobsVector Database Job Jobs in California

Vector Database Job information

What can you do with a vector database?

A vector database used in a vector database job stores and manages high-dimensional data for tasks like similarity search, recommendation systems, and machine learning applications. It enables efficient retrieval of related data points based on vector representations, often requiring knowledge of data indexing and query optimization. Working with such databases involves skills in data modeling, algorithms, and sometimes programming in languages like Python or C++.

What are popular job titles related to Vector Database Job jobs in California?

For Vector Database Job jobs in California, the most frequently searched job titles are:

What job categories do people searching Vector Database Job jobs in California look for?

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Vector Database Job jobs near you
Infographic showing various Vector Database Job job openings in California as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 23% Part Time, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

AI/ML Engineer

Tata Consultancy Service Limited

Woodland Hills, CA • On-site

$140K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago

Key responsibilities

  • Design, build, and deploy production-grade AI/ML and Generative AI solutions using Python and modern ML frameworks

  • Develop and optimize prompt engineering strategies for LLM-based applications and build retrieval-augmented generation pipelines

  • Integrate LLMs via APIs, implement vector search solutions with vector databases, and ensure solutions are scalable and production-ready

Job description

Must Have Technical/Functional Skills
• Python (Expert level)
• Machine Learning & Model Training
o Training, evaluation, fine tuning
o Tagging and labeling workflows
• Generative AI & LLMs
o Prompt engineering for LLM-based applications
• Document Processing
o Document extraction, parsing, and chunking
o Handling structured & unstructured data
• Embeddings & Vector Search
o Embedding generation
o Vector database integration
• Databases
o Vector Databases
o MongoDB
• Production-grade ML Engineering
o Scalable, production-ready ML/GenAI solutions
Roles & Responsibilities
This role is for a hands-on AI/ML Engineer who will design, build, and deploy production-grade Machine Learning and Generative AI solutions. The candidate must have strong Python expertise and practical experience taking ML and GenAI use cases from development to deployment.
The role focuses heavily on LLM-based applications, including prompt engineering, document processing pipelines, and embedding-based search solutions. The engineer will work with both structured and unstructured data, building pipelines for document extraction, parsing, and chunking, and integrating ML models with Vector Databases and MongoDB.
An ideal candidate is someone who understands end-to-end ML workflowsfrom data preparation, tagging, and labeling, through model training, evaluation, and fine-tuningwhile ensuring solutions are scalable, high quality, and production ready.
For recruiter to interpret accurately
• Not a pure data analyst this is an engineering-focused ML/GenAI role
• Not theoretical AI requires real-world deployment experience
• Strong fit for candidates with backgrounds in:
o ML Engineering
o Applied Data Science
o GenAI / LLM application development
Key Responsibilities
• Design and implement AI/ML solutions using Python and modern ML frameworks
• Develop and optimize Prompt Engineering strategies for LLM-based systems
• Build and deploy Retrieval-Augmented Generation (RAG) pipelines
• Integrate LLMs via APIs (Azure OpenAI preferred) into enterprise applications
• Develop and orchestrate Agent ic AI workflows with tool/function calling
• Implement vector search solutions using Vector Databases
• Ensure CI/CD integration and cloud deployment (Azure preferred)
• Establish observability, monitoring, and evaluation frameworks for AI systems
• Collaborate with cross-functional teams to deliver production-ready AI features
Generic Managerial Skills, If any
• Ability to explain complex ML / GenAI concepts to non-technical stakeholders and collaborate effectively with cross-functional teams.
• Strong analytical thinking to break down ambiguous business problems into workable ML or GenAI solutions.
• Takes end-to-end responsibility for solutionsfrom design to production readinesswithout constant supervision.
• Works well with data engineers, product owners, and platform teams to deliver integrated, scalable solutions.
• Actively keeps up with evolving ML, LLM, and GenAI technologies and improves skills proactively.
Salary Range: $140,000 -$165,000 year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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