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Pinecone Vector Databases Jobs in Boise, ID (NOW HIRING)

VELOX

Artificial (AI) Engineer

Boise, ID · On-site

$99K - $118K/yr

... with vector databases (e.g., Pinecone, Weaviate, FAISS) and embedding generation • Comfort working in cloud environments (GCP, AWS, or Azure) Preferred : • Bachelor's or Master's degree in ...

VELOX Media

Artificial (AI) Engineer

Boise, ID · On-site

... with vector databases (e.g., Pinecone, Weaviate, FAISS) and embedding generation • Comfort working in cloud environments (GCP, AWS, or Azure) Bonus Experience • Experience integrating AI/ML ...

VELOX

Artificial (AI) Engineer

Boise, ID · On-site

... vector databases (e.g., Pinecone, Weaviate, FAISS) and embedding generation Comfort working in cloud environments (GCP, AWS, or Azure) Bonus Experience Experience integrating AI/ML models or ...

VELOX

Artificial (AI) Engineer

Boise, ID · On-site

... vector databases (e.g., Pinecone, Weaviate, FAISS) and embedding generation Comfort working in cloud environments (GCP, AWS, or Azure) Bonus Experience Experience integrating AI/ML models or ...

VELOX Media

Artificial (AI) Engineer

Boise, ID · On-site

$110 - $160/hr

Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and embedding generation * Comfort working in cloud environments (GCP, AWS, or Azure) Bonus Experience * Experience integrating AI ...

All JobsPinecone Vector Databases JobsPinecone Vector Databases Jobs in Boise, ID

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 Boise, ID?

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Pinecone Vector Databases jobs near you
Infographic showing various Pinecone Vector Databases job openings in Boise, ID as of August 2026, with employment types broken down into 84% Full Time, 10% Part Time, 2% Temporary, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Artificial (AI) Engineer

VELOX

Boise, ID • On-site

$99K - $118K/yr

Full-time

Re-posted 15 days ago

Job description

Job Summary:
VELOX Media is hiring an AI Developer to help design and implement intelligent systems that enhance internal operations and client performance visibility. This role involves collaborating with product engineers and data strategists to build tools that transform interactions with performance data, focusing on predictive models and natural language interfaces.
Responsibilities:
• Research, design, and deploy AI/ML models that drive value across client-facing and internal applications
• Build tools that support predictive analytics, natural language querying, and campaign automation
• Collaborate with product and engineering teams to integrate AI functionality into web platforms
• Integrate AI solutions with our PHP/Laravel backend and MySQL databases via REST APIs or microservices
• Write clean, scalable code for inference pipelines, model training, and testing environments
• Monitor model performance and retrain or refine when necessary
• Stay ahead of LLMs, vector DBs, and open-source innovations to enhance our AI roadmap
• Contribute to a long-term AI strategy that makes VELOX more automated, intelligent, and insightful
Qualifications:
Required:
• Strong proficiency in Python (Pandas, NumPy, scikit-learn, etc.)
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Hands-on experience with natural language processing, retrieval-augmented generation (RAG), or LLMs (e.g., OpenAI, Claude, Mistral)
• Understanding of data pipelines, model deployment, and performance monitoring
• Experience working with APIs and integrating ML models into production systems
• Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and embedding generation
• Comfort working in cloud environments (GCP, AWS, or Azure)
Preferred:
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
• 3+ years of experience in applied AI/ML roles
• Track record of launching AI tools or systems into production
• Experience working in a digital agency or marketing analytics environment is a plus
Company:
VELOX is an ROI-Focused digital marketing agency specializing in Organic Search, Content Development, Publishing, Link Building, Paid Advertising, and Conversion Optimization. Founded in 2006, the company is headquartered in Boise, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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