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Pinecone Vector Databases Jobs in Seattle, WA (NOW HIRING)

AI Enterprise Architect

Seattle, WA · On-site

$78.50 - $101.25/hr

... Vector DBs (ChromaDB, Pinecone, FAISS, Weaviate, Vertex AI Matching Engine). • Develop and optimize retrieval-augmented generation (RAG) pipelines using vector databases • Define and enforce AI ...

Software Engineer III

Bellevue, WA · On-site

$141K - $225K/yr

Understanding of LLM architectures, embeddings, and vector databases (e.g., Qdrant, Pinecone, Milvus, FAISS). * Demonstrated ability to drive cross-team technical initiatives and influence ...

Software Engineer III

Bellevue, WA · On-site +1

$141K - $225K/yr

Understanding of LLM architectures, embeddings, and vector databases (e.g., Qdrant, Pinecone, Milvus, FAISS). * Demonstrated ability to drive cross-team technical initiatives and influence ...

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 ...

Software Engineer - Sr. Consultant level

Bellevue, WA · Hybrid

$138K - $182K/yr

Build and optimize RAG pipelines using vector databases (Pinecone, Weaviate, FAISS). Develop orchestration and agentic workflows using LangChain, LangGraph, or Autogen. * Scalability & Reliability ...

Senior Staff AI Engineer

Seattle, WA · On-site

$118K - $163K/yr

... vector databases and retrieval-augmented generation (RAG) techniques using systems like Elasticsearch, Pinecone, or FAISS for enhancing LLM performance. • Exceptional ability to communicate complex ...

Pinecone Vector Databases information

What is a Pinecone Vector Database?

A Pinecone Vector Database is a cloud-based service designed to efficiently store, index, and search high-dimensional vector data, such as embeddings generated by machine learning models. It enables fast similarity search, making it ideal for use cases like semantic search, recommendation systems, and AI-powered applications. Pinecone handles the complexity of scaling and managing vector data, so developers can focus on building intelligent applications without worrying about infrastructure.

What are the key skills and qualifications needed to thrive as a Pinecone Vector Database Engineer, and why are they important?

To thrive as a Pinecone Vector Database Engineer, you need a strong background in computer science, data engineering, and experience with large-scale distributed systems, often supported by a relevant degree or equivalent experience. Proficiency in Python, REST APIs, cloud platforms (AWS, GCP), and vector search technologies, along with familiarity with Pinecone’s SDK and database management, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with cross-functional teams and deliver scalable solutions. These skills ensure robust database performance, efficient data retrieval, and successful integration of vector search capabilities into real-world applications.

What are some common challenges faced by engineers working with Pinecone Vector Databases, and how can they be addressed?

Engineers working with Pinecone Vector Databases often encounter challenges such as optimizing vector search performance at scale, ensuring data consistency across distributed systems, and integrating the database with various machine learning pipelines. Addressing these challenges typically involves tuning indexing parameters, monitoring resource utilization, and collaborating closely with data scientists to understand retrieval requirements. Regularly reviewing documentation and participating in community forums can also help engineers stay current with best practices and new features.

What is the difference between Pinecone Vector Databases vs Data Engineers?

AspectPinecone Vector DatabasesData Engineers
Primary RoleManaging and deploying vector database solutions for AI/ML applicationsDesigning, building, and maintaining data pipelines and infrastructure
Skills & CertificationsKnowledge of vector databases, cloud platforms, programming (Python, SQL)Data modeling, ETL processes, cloud services, programming (Python, Java)
Work EnvironmentTech companies, AI startups, cloud providersData-driven organizations, tech firms, finance, healthcare

While Pinecone Vector Databases specialists focus on deploying and managing vector database solutions for AI applications, Data Engineers build and maintain the data infrastructure that supports these systems. Both roles require programming skills and familiarity with cloud platforms, but their core responsibilities differ: one centers on database management, the other on data pipeline development.

What are popular job titles related to Pinecone Vector Databases jobs in Seattle, WA? For Pinecone Vector Databases jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Pinecone Vector Databases jobs in Seattle, WA look for? The top searched job categories for Pinecone Vector Databases jobs in Seattle, WA are:
Infographic showing various Pinecone Vector Databases job openings in Seattle, WA as of July 2026, with employment types broken down into 7% Internship, 59% Full Time, and 34% Contract. Highlights an 86% In-person, and 14% Remote job distribution.

Senior Software Engineer (Search & Personalization)

BuyWander

Seattle, WA • On-site

$139K - $183K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 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.