AI Engineer
Salt Lake City, UT · On-site
... vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes ...
AI Engineer
Salt Lake City, UT · On-site
... vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes ...
AI Engineer
Salt Lake City, UT · On-site
... vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes ...
AI Engineer
Salt Lake City, UT · On-site
... vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes ...
AI Engineer
Salt Lake City, UT · On-site
... vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes ...
AI Engineer
Salt Lake City, UT · On-site
... vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes ...
AI Engineer
Salt Lake City, UT · On-site
... vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes ...
AI Engineer
Salt Lake City, UT · On-site
... vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes ...
AI Engineer
Salt Lake City, UT · On-site
... vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes ...
AI Engineer
Salt Lake City, UT · On-site
... vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes ...
AI Engineer
Salt Lake City, UT · On-site
... vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes ...
AI Engineer
Salt Lake City, UT · On-site
... vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes ...
AI Engineer
Salt Lake City, UT · On-site
... vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes ...
AI Engineer
Salt Lake City, UT · On-site
... vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes ...
AI Engineer
Salt Lake City, UT · On-site
... vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes ...
AI Engineer
Salt Lake City, UT · On-site
... vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes ...
AI Engineer
Salt Lake City, UT · On-site
... vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes ...
AI Engineer
Salt Lake City, UT · On-site
... vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes ...
AI Engineer
Salt Lake City, UT · On-site
... vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes ...
AI Engineer
Salt Lake City, UT · On-site
... vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes ...
... Vector Databases, or AI Agent frameworksFamiliarity with Docker, Kubernetes, Kafka, and CI/CD pipelines
... Vector Databases, or AI Agent frameworksFamiliarity with Docker, Kubernetes, Kafka, and CI/CD pipelines
Java Engineer
Salt Lake City, UT · On-site
$50 - $68.75/hr
PostgreSQL, MongoDB, Redis 4. AI Ecosystem Knowledge Awareness of modern AI concepts including LLMs, RAG, AI Agents, and vector databases Ability to integrate AI capabilities into enterprise ...
Java Engineer
Salt Lake City, UT · On-site
$50 - $68.75/hr
PostgreSQL, MongoDB, Redis 4. AI Ecosystem Knowledge Awareness of modern AI concepts including LLMs, RAG, AI Agents, and vector databases Ability to integrate AI capabilities into enterprise ...
Java Engineer
Salt Lake City, UT · On-site
$50 - $68.75/hr
PostgreSQL, MongoDB, Redis 4. AI Ecosystem Awareness of modern AI concepts including LLMs, RAG, AI Agents, and vector databases Ability to integrate AI capabilities into enterprise applications ...
Java Engineer
Salt Lake City, UT · On-site
$50 - $68.75/hr
PostgreSQL, MongoDB, Redis 4. AI Ecosystem Awareness of modern AI concepts including LLMs, RAG, AI Agents, and vector databases Ability to integrate AI capabilities into enterprise applications ...
Senior Java Developer[Business Automation & AI]-[lOCAL TO UTAH]
Salt Lake City, UT · On-site
$55.50 - $70.75/hr
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.
Quick apply
Senior Java Developer[Business Automation & AI]-[lOCAL TO UTAH]
Salt Lake City, UT · On-site
$55.50 - $70.75/hr
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.
Stay current with advancements in LLMs, vector databases, and agent frameworks * Experiment with new tools and techniques to improve speed, quality, and capability * Contribute reusable patterns ...
Quick apply
Stay current with advancements in LLMs, vector databases, and agent frameworks * Experiment with new tools and techniques to improve speed, quality, and capability * Contribute reusable patterns ...
Stay current with advancements in LLMs, vector databases, and agent frameworks * Experiment with new tools and techniques to improve speed, quality, and capability * Contribute reusable patterns ...
Stay current with advancements in LLMs, vector databases, and agent frameworks * Experiment with new tools and techniques to improve speed, quality, and capability * Contribute reusable patterns ...
Software Engineer IV
Ogden, UT · On-site
You'll play a key role in modernizing legacy platforms, integrating emerging technologies (including LLMs and vector databases), and enabling the bank's next generation of digital capabilities. Along ...
Software Engineer IV
Ogden, UT · On-site
You'll play a key role in modernizing legacy platforms, integrating emerging technologies (including LLMs and vector databases), and enabling the bank's next generation of digital capabilities. Along ...
Software Engineer IV
Ogden, UT · On-site
You'll play a key role in modernizing legacy platforms, integrating emerging technologies (including LLMs and vector databases), and enabling the bank's next generation of digital capabilities. Along ...
Software Engineer IV
Ogden, UT · On-site
You'll play a key role in modernizing legacy platforms, integrating emerging technologies (including LLMs and vector databases), and enabling the bank's next generation of digital capabilities. Along ...
Senior Backend Engineer (Java/Kotlin, Microservices)
Salt Lake City, UT · On-site
$116K - $151K/yr
Knowledge of AI/ML concepts, including LLMs, RAG, vector databases, or prompt engineering * Experience with Python for scripting, automation, or data-related tasks * Understanding of advanced design ...
Senior Backend Engineer (Java/Kotlin, Microservices)
Salt Lake City, UT · On-site
$116K - $151K/yr
Knowledge of AI/ML concepts, including LLMs, RAG, vector databases, or prompt engineering * Experience with Python for scripting, automation, or data-related tasks * Understanding of advanced design ...
Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. * Capable of working with GraphQL, microservices, or event-driven systems in fast-paced ...
Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. * Capable of working with GraphQL, microservices, or event-driven systems in fast-paced ...
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?
| Aspect | Vector Databases | Data Engineers |
|---|---|---|
| Required Skills | Database management, data modeling, query optimization | Data pipeline development, ETL processes, programming |
| Work Environment | Data storage systems, AI/ML projects, cloud platforms | Data infrastructure, cloud environments, big data tools |
| Industry Usage | AI, machine learning, recommendation systems | Data 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 Ogden, UT? For Vector Databases jobs in Ogden, UT, the most frequently searched job titles are:
What cities near Ogden, UT are hiring for Vector Databases jobs? Cities near Ogden, UT with the most Vector Databases job openings:
Job description
Junior AI Engineer Job Type: Permanent Full Time Location: Salt Lake City, Utah, United States How you'll make an impact • Design and develop AI-driven product features using ML, GenAI, and LLMs • Build and deploy scalable AI systems using cloud-native architectures • Implement RAG pipelines, vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes • Ensure system reliability, scalability, security, and cost efficiency • Collaborate cross-functionally with product, engineering, and business teams Required qualifications to be successful in this role What you'll bring • Up to 2 years of experience in engineering or related roles • Familiarity with AI agents and agentic frameworks (e.g., LangChain, LangGraph) • Understanding of agent design patterns and evaluation techniques • Experience with Model Context Protocol (MCP) servers • Proficiency in Python and SQL • Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices • Experience with Docker, Kubernetes, and CI/CD pipelines • Understanding of microservices architecture and API development • Knowledge of serverless design, 12-factor apps, autoscaling, and high availability • Strong problem-solving and communication skills
Ref: #404-IT Pittsburgh