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Pinecone Vector Databases Jobs in Oregon (NOW HIRING)

AI Agent ML Engineer

OR · On-site

$165K - $190K/yr

Familiarity with prompt engineering and vector databases (e.g., Pinecone, Weaviate). * Success operating in a matrix environment, developing strong relationships across functional groups (e.g ...

AI Agent ML Engineer

Myrtle Point, OR · On-site +1

$165K - $190K/yr

Familiarity with prompt engineering and vector databases (e.g., Pinecone, Weaviate). * Success operating in a matrix environment, developing strong relationships across functional groups (e.g ...

Senior DevOps Engineer

OR · On-site +1

$129K - $166K/yr

Familiarity with vector databases (Pinecone, Weaviate, OpenSearch) * Exposure to AIOps or AI-driven automation * Experience with data platforms (Databricks, Snowflake, Redshift) * GCP experience a ...

Senior AI Automation Engineer

OR · Remote

$103K - $136K/yr

Experience using vector databases such as Pinecone, Snowflake Cortex Search, and pgvector for Retrieval-Augmented Generation (RAG). * Experience with AI/ML concepts and implementing agentic ...

Experience using vector databases such as Pinecone, Snowflake Cortex Search and pgvector. * Experience with AI/ML concepts and implementing AI workflows in enterprise environments. * Hands-on ...

Experience with vector databases or embeddings systems (Pinecone, Weaviate, Elasticsearch, etc.). * Experience implementing MLOps pipelines for model deployment and monitoring. * Experience with ...

Experience with vector databases (e.g., Pinecone, FAISS), RAG and Agentic workflows. * Experience building or fine-tuning Large Language Models (LLMs). * Experience deploying models into production ...

Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, pgvector, or similar) * Prior work automating sales, customer success, or marketing workflows in a B2B SaaS ...

Senior AI Engineer | US | Remote

OR · Remote

$55.25 - $71.25/hr

Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector) * Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo ...

Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector) * Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo ...

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 Oregon? For Pinecone Vector Databases jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Pinecone Vector Databases jobs in Oregon look for? The top searched job categories for Pinecone Vector Databases jobs in Oregon are:
What cities in Oregon are hiring for Pinecone Vector Databases jobs? Cities in Oregon with the most Pinecone Vector Databases job openings:

Senior Consultant, Anthropic AI Engineer

Global Career Website

OR • On-site, Remote

$104K - $143K/yr

Other

Medical, PTO

Re-posted 23 days ago


Job description

About Astound Digital

At Astound Digital, we are pioneers in the digital landscape, dedicated to transforming how the world interacts with technology, data, and creativity. Our role as trusted advisors in the digital landscape empowers the world's most innovative brands with frictionless, end-to-end customer experiences. We are known for our comprehensive solutions, proven expertise, and collaborative, nimble approach that instills confidence in our clients. We embrace the power of Artificial Intelligence (AI) to drive innovation, efficiency, and better outcomes for our clients and employees. Join us to navigate and lead in the ever-changing digital world, where your impact will extend beyond the ordinary.

Job Purpose

As a Senior Consultant specializing in Anthropic AI, you will sit at the intersection of enterprise cloud architecture and generative AI. You will be a part of the founding team as a core contributor to Astound Digital's Anthropic AI Practice.

You will serve as both a technical and functional expert, partnering with global clients to maximize platform utilization through intelligent automation. Your role involves a blend of high-level thought leadership and hands-on development, leveraging Claude Code and advanced AI frameworks to improve organizational efficiency and deliver next-generation digital outcomes.

Key Responsibilities
  • Translate client requirements into technical specifications and scalable AI solution architectures.
  • Lead client-facing discovery sessions, workshops, and requirement-gathering activities, including the development and iteration of proof-of-concept prototypes.
  • Design, develop, and write clean Python/JavaScript code for Claude-powered applications, agents, and enterprise workflows.
  • Build integrated solutions using the Anthropic API, leveraging advanced prompt engineering and multi-turn conversation design.
  • Implement Retrieval-Augmented Generation (RAG) pipelines and integrate vector databases for AI solutions.
  • Research evolving Anthropic features to provide gap analyses and recommend features that improve organizational effectiveness.
  • Lead the technical integration of Salesforce with third-party systems and AI orchestration layers like AWS Bedrock.
  • Partner with distributed delivery teams as a technical lead to drive best practices in modular design, automation, and prompt engineering.
  • Manage system release schedules and maintain comprehensive, AI-driven configuration documentation using Co-work.
Qualifications (Required and Preferred)
  • 3+ years of Software Engineering experience, including prior consulting/client-facing project experience and 6-12 months dedicated experience with Anthropic/Claude models.
  • Proficiency in Python and/or JavaScript/TypeScript for AI applications, along with working knowledge of advanced prompt engineering (e.g., chain-of-thought, few-shot).
  • Familiarity with agentic frameworks (e.g., LangChain, LlamaIndex), Model Context Protocol (MCP), or multi-agent orchestration patterns.
  • Experience with RAG architectures and vector databases (e.g., Pinecone, Weaviate, pgvector).
  • Familiarity with integrations via REST APIs, JSON, and cloud platforms (AWS, GCP, Azure).
  • Exposure to other LLMs, specifically Gemini, OpenAI, and/or AWS Bedrock.
  • Strong analytical, problem-solving, and technical writing skills, coupled with a solid understanding of software architecture principles (OOD, modularity).
  • Completion of Anthropic Academy coursework, familiarity with Co-work/Claude Code, and aspiration for Anthropic Architect certification.
What we offer in return
  • Global Collaboration: The opportunity to work daily with diverse and talented professionals across the globe.
  • Off-the-Charts Career Growth: lear career path and a performance review system, career coaching, training and certifications, mentoring and knowledge sharing.
  • Well-being Is Top Priority: Parental leave, paid time off, comprehensive health and medical plans.
  • Real Work-Life Balance: Dependent on location, we offer remote, in-office, or hybrid working modes; flexible hours; work-life balance support on every stage and level.
Why work for Astound Digital?

Whether you're working directly with our world-renowned clients or with your Astound colleagues from around the globe, you will shape the future of digital commerce, using emerging technologies and innovative approaches.

Grow your career with Astound Digital, and discover exciting opportunities while doing the work you love!