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Vector Databases Jobs in Seattle, WA (NOW HIRING)

Blue Origin, LLC

AI Engineer III - Blue Ring

Seattle, WA · On-site

$65.50 - $88/hr

Manage vector database infrastructure, embedding pipelines, and retrieval strategies to deliver accurate answers to operator queries * Implement human-in-the-loop decision workflows where agents ...

Blue Origin

AI Engineer III - Blue Ring

Seattle, WA

$65.50 - $88/hr

Manage vector database infrastructure, embedding pipelines, and retrieval strategies to deliver accurate answers to operator queries * Implement human-in-the-loop decision workflows where agents ...

Qaurs Techno Systems LLC

Senior AI Engineer

Bellevue, WA · On-site

$75K - $85K/yr

Create scalable AI architectures integrating LLMs, vector databases, APIs, and enterprise systems. * Evaluate and optimize model performance, latency, accuracy, and cost. Backend & Platform ...

Redapt

Senior Architect

Woodinville, WA

LLM's, RAG, Vector Databases, Prompt Evaluation, GenAI Solution Patterns. * Azure ML, AWS ML, Vertex AI, SageMaker, Databricks, Big query/Redshift/Snowflake * ELT/ELT/Pipeline Design, Data Modeling ...

Metropolis

Senior AI Engineer

Seattle, WA · On-site

$139K - $183K/yr

... vector databases, embeddings, or semantic search is a plus Company : Take the uncertainty out of smart contract deployments. Build confidence from the command line. Founded in , the company is ...

Redapt

Senior Architect

Woodinville, WA · On-site

LLM's, RAG, Vector Databases, Prompt Evaluation, GenAI Solution Patterns. * Azure ML, AWS ML, Vertex AI, SageMaker, Databricks, Big query/Redshift/Snowflake * ELT/ELT/Pipeline Design, Data Modeling ...

Redapt

Senior Architect

Woodinville, WA · On-site

LLM's, RAG, Vector Databases, Prompt Evaluation, GenAI Solution Patterns. * Azure ML, AWS ML, Vertex AI, SageMaker, Databricks, Big query/Redshift/Snowflake * ELT/ELT/Pipeline Design, Data Modeling ...

LVT

Staff ML/LLM Ops Engineer

Seattle, WA · On-site

$213K - $272K/yr

LangGraph, MCP frameworks, vector databases, and inference/serving platforms. COMPENSATION The beginning annual salary range for this role is $213,300 - $272,000 USD and is determined by location ...

Zscaler

Principal GenAI Data Engineer

Bellevue, WA · On-site

$152K - $204K/yr

Experience with vector databases, graph databases, and metadata/knowledge storage systems * Hands-on experience with clustering, entity recognition algorithms, and modern retrieval strategies ...

QXO

Senior AI Engineer

Seattle, WA · On-site

$118K - $163K/yr

... vector databases, and retrieval systems. • Strong understanding of CI/CD, containerization (Docker), cloud deployment (AWS/GCP/Azure), and DevOps fundamentals. • Familiarity with automated ...

Uw

AI Agent Builder

Seattle, WA

Familiarity with vector databases (e.g., Pinecone, Weaviate, ChromaDB, pgvector) and embedding-based retrieval. Experience with REST APIs, cloud platforms (AWS, Azure, or GCP), and containerization ...

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Showing results 41-60

All JobsVector Databases JobsVector Databases Jobs in Seattle, WA

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 Seattle, WA? For Vector Databases jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Vector Databases jobs in Seattle, WA look for? The top searched job categories for Vector Databases jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Vector Databases jobs? Cities near Seattle, WA with the most Vector Databases job openings:
Vector Databases jobs near you
Infographic showing various Vector Databases job openings in Seattle, WA as of August 2026, with employment types broken down into 87% Full Time, 5% Part Time, 1% Temporary, and 7% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Senior Software Engineer (Search & Personalization)

BuyWander

Seattle, WA • On-site

$139K - $183K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Job description

Description:Senior Software Engineer (Search & Personalization)

Location: Seattle, WA Type: Full-Time | Engineering


ABOUT BUYWANDER

BuyWander is rebuilding the $850B retail returns industry. We take chaotic truckloads of returned goods and transform them into a fast, fun, treasure-hunt shopping experience powered by AI, real-time auctions, and local pickup.

We’re not just building a marketplace. We’re building a daily habit.


THE ROLE

We are looking for a highly product-minded Senior Software Engineer to own our Search and Personalization experience.

With the rapid advancement of AI coding agents (like Claude Code and Cursor), the way we build across the stack has completely changed. We aren't hiring you to spend your days writing boilerplate UI components. We are hiring you for your architectural brain and product sense.

Your mandate is to build the discovery engine that keeps our users addicted to the "treasure hunt." You will partner with our Data & AI team to take raw recommendation models and turn them into lightning-fast, highly personalized consumer experiences.


WHAT YOU’LL OWN

1. The Discovery & Personalization Engine

  • Design and implement the architecture for our "For You" feeds.
  • Blend rules-based logic with ML-driven recommendations to ensure the right weird, unique, or high-value item hits the exact right bidder at the right time.

2. Search Optimization

  • Own our core search infrastructure (Elastic Cloud / Pinecone).
  • Implement hybrid search (keyword + vector), tune ranking weights, and build typo-tolerance and synonym matching so our buyers always find what they are looking for.

3. Measuring Success & Experimentation

  • You don't just ship features; you measure them. You will design the A/B testing framework for our search ranking changes.
  • Track click-through rates (CTR), bid velocity, and conversion metrics to definitively prove your search tweaks are making the company money.

4. AI-Assisted Product Development

  • Use modern AI coding tools to rapidly wire your backend search APIs into our Vue/Nuxt frontend.
  • Focus your deep thinking on system design, database queries, and user flows, while leveraging AI agents to accelerate UI execution.
WHY THIS ROLE IS DIFFERENT

At most companies, you are handed a Jira ticket and told exactly what to build. Here, you are handed a business problem: "Our bidders are having trouble finding niche electronics in our chaotic inventory—fix it."

You will have the autonomy to design the search logic, test the algorithms, and ship the product experience that solves that problem. If you love building systems that directly drive user addiction and marketplace revenue, let's talk.


Benefits

  • Competitive Salary and Performance-based Bonuses
  • Meaningful equity in a company attacking a massive market, for a brand that can become nationally recognized
  • Health, Vision & Dental Insurance
  • Unlimited PTO
  • Annual Company Offsites
  • 401K
Requirements:
WHAT YOU BRING
  • The Tech Stack: Deep backend proficiency (we use C#/Python/FastAPI) and a solid understanding of modern frontend frameworks (we use Vue/Nuxt/Vercel).
  • Search Expertise: Proven experience tuning search engines (Elasticsearch, Algolia, or OpenSearch) and familiarity with modern Vector databases (Pinecone).
  • Product Sense: You think in terms of user psychology and metrics. You understand concepts like collaborative filtering, session-based recommendations, and ranking algorithms.
  • The Modern Workflow: You are highly proficient in using AI developer tools (Copilot, Cursor, Claude) to multiply your output.


BuyWander is an Equal Opportunity Employer. We make employment decisions based on qualifications, skills, merit, and business needs. We believe a range of skills, perspectives, and experiences strengthens our team and supports better outcomes for our employees and customers.