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Pinecone Vector Databases Jobs in Utah (NOW HIRING)

Waystar

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

... Vector Databases (e.g., pgvector, Pinecone, Weaviate, Qdrant) and RAG architectures. • Exposure to the healthcare domain, particularly understanding medical terminology, CPT/ICD codes, or ...

Patientco

Senior ML Engineer

Lehi, UT

$98K - $134K/yr

Experience with Vector Databases (e.g., pgvector, Pinecone, Weaviate, Qdrant) and RAG architectures. * Exposure to the healthcare domain, particularly understanding medical terminology, CPT/ICD codes ...

Waystar

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

Experience with Vector Databases (e.g., pgvector, Pinecone, Weaviate, Qdrant) and RAG architectures. * Exposure to the healthcare domain, particularly understanding medical terminology, CPT/ICD codes ...

Crew Career Center

Senior ML Engineer

Lehi, UT

$98K - $134K/yr

Experience with Vector Databases (e.g., pgvector, Pinecone, Weaviate, Qdrant) and RAG architectures. * Exposure to the healthcare domain, particularly understanding medical terminology, CPT/ICD codes ...

Lumion

Software Engineer at Lumion

South Jordan, UT

MySQL, Redis, vector databases (pgvector/Pinecone) for RAG, queue-driven architectures. What We're Looking For Strong fundamentals. Data modeling, API design, system architecture. You can debug a ...

WEX

Sr. Software Engineer (AI & Backend)

Salt Lake City, UT · On-site +1

$118K - $156K/yr

Experience with vector databases (e.g., Pinecone, Weaviate, OpenSearch, Milvus) * Knowledge of AI evaluation techniques, safety practices, and responsible AI principles The base pay range represents ...

eNett

Sr. Software Engineer (AI & Backend)

Salt Lake City, UT · On-site +1

$118K - $156K/yr

Experience with vector databases (e.g., Pinecone, Weaviate, OpenSearch, Milvus) * Knowledge of AI evaluation techniques, safety practices, and responsible AI principles The base pay range represents ...

Adobe

Senior Platform & AI Engineer

Lehi, UT · On-site

$51.75 - $67/hr

... Vector databases (OpenSearch, Pinecone) Demonstrated experience (or significant exposure) designing, integrating, and scaling agentic AI systems-such as LLM agents, multi-agent frameworks (LangChain ...

WEX

Sr. Software Engineer (AI & Backend)

Salt Lake City, UT · On-site +1

$118K - $156K/yr

Experience with vector databases (e.g., Pinecone, Weaviate, OpenSearch, Milvus) * Knowledge of AI evaluation techniques, safety practices, and responsible AI principles The base pay range represents ...

All JobsPinecone Vector Databases JobsPinecone Vector Databases Jobs in Utah

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.

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What cities in Utah are hiring for Pinecone Vector Databases jobs? Cities in Utah with the most Pinecone Vector Databases job openings:
Pinecone Vector Databases jobs near you
Senior Java Developer[Business Automation & AI]-[lOCAL TO UTAH]

Senior Java Developer[Business Automation & AI]-[lOCAL TO UTAH]

SmartIPlace

Salt Lake City, UT • On-site

$55.50 - $70.75/hr

Contractor

Posted yesterday

Job description

Position: Senior Java Developer (Business Automation & AI)

Location:  Salt Lake City, Utah, 84111

Interview mode: Onsite interviews

Visa: ANY

 

Interviews will be held onsite.

Hybrid role

Required Technical Skills:

  • Java Mastery: 3-5 years of professional experience with Java (8/11/17+), including Spring Boot or Quarkus.
  • Rule Engines: Hands-on experience writing and debugging Drools rules and implementing DMN (Decision Model and Notation).
  • Cloud Native Automation: Proven experience with Kogito for building cloud-native business processes.
  • AWS AI/ML Stack: Experience configuring AWS Bedrock (Knowledge Bases, Agents, or Prompt Engineering).
  • **Proficiency in managing Amazon S3 for large-scale document storage and metadata tagging.
  • Documentation Transformation: Experience (or strong scripting ability) in converting Adobe RoboHelp (HTML/XML) into structured formats (Markdown/JSON) for AI consumption.
  • Modern DevOps: Experience with Git, CI/CD pipelines, and containerization (Docker/Kubernetes).

 

Preferred Qualifications:

  • Experience with Vector Databases (Amazon OpenSearch, Pinecone, or Milvus).
  • Understanding of Python (specifically for BeautifulSoup/Pandoc-based document parsing).
  • Knowledge of BPMN 2.0 standards.
  • AWS Certified Developer or AWS Machine Learning Specialty certification.
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About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media

Facebook

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