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Vector Ai Jobs in Utah (NOW HIRING)

System One

AI Engineer

Salt Lake City, UT · On-site

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 ...

System One

AI Engineer

Salt Lake City, UT · On-site

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 ...

System One

AI Engineer

Salt Lake City, UT · On-site

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 ...

System One

AI Engineer

Salt Lake City, UT · On-site

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 ...

System One

AI Engineer

Salt Lake City, UT · On-site

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 ...

System One

AI Engineer

Salt Lake City, UT · On-site

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 ...

System One

AI Engineer

Salt Lake City, UT · On-site

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 ...

Deloitte

Google AI Lead Architect

Salt Lake City, UT

$53.50 - $73.25/hr

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

OmegaHires

Java Developer with AI

Salt Lake City, UT · On-site

$49.25 - $63.75/hr

... using vector databases such as Pinecone, ChromaDB, Weaviate, Milvus, or FAISS. - Experience integrating AI models such as OpenAI GPT, Azure OpenAI, Anthropic Claude, Gemini, or Llama. - Strong ...

Octanner

Sr. Applied AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

Deployed RAG systems including embedding models, vector databases, hybrid search, and retrieval ... AI observability experience with OpenTelemetry, Langfuse, or equivalent

OC Tanner

Sr. Applied AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

Deployed RAG systems including embedding models, vector databases, hybrid search, and retrieval ... AI observability experience with OpenTelemetry, Langfuse, or equivalent

Trilon Group

Applied AI Field Engineer

Salt Lake City, UT · On-site

$155K - $190K/yr

The Applied AI Engineer plays a critical role in that mission by building the AI-powered features ... Stay current with advancements in LLMs, vector databases, and agent frameworks * Experiment with ...

LVT

Senior AI Specialist

American Fork, UT

Proven AI Depth: You have substantive, hands-on experience building and deploying LLM-based solutions - RAG pipelines, vector databases, agent frameworks, prompt engineering at scale. Using Copilot ...

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Vector Ai information

What are the key skills and qualifications needed to thrive as a Vector AI engineer?

To thrive as a Vector AI Engineer, you need strong foundations in mathematics, machine learning, and computer science, often supported by a degree in a related field. Expertise with vector databases (such as Pinecone or FAISS), programming languages like Python, and knowledge of frameworks like TensorFlow or PyTorch are typically required. Excellent problem-solving, analytical thinking, and effective communication skills help you translate complex business requirements into scalable AI solutions. These qualifications are crucial for developing, deploying, and maintaining efficient AI systems that leverage vector search and representation for real-world applications.

What are some common challenges faced by professionals working in Vector AI roles, and how can they be addressed?

Professionals in Vector AI roles often face challenges such as managing large-scale, high-dimensional data, ensuring model scalability, and optimizing search algorithms for speed and accuracy. Collaborating closely with data engineers, software developers, and product managers is crucial to integrate AI vector solutions effectively into products. Staying updated on the latest advancements in vector databases and similarity search techniques can also be demanding, so continuous learning and participation in relevant communities are highly beneficial. Adopting best practices for model evaluation and experiment tracking can help address these challenges and drive project success.

What is the difference between Vector Ai vs Data Analyst?

AspectVector AiData Analyst
Required CredentialsTechnical certifications, programming skillsDegree in statistics, data science, or related field
Work EnvironmentTech companies, AI development teamsBusiness, finance, healthcare sectors
Industry UsageAI, machine learning, software developmentData interpretation, reporting, decision support

Vector Ai professionals focus on developing and implementing AI algorithms, requiring technical skills and programming knowledge. Data Analysts interpret data to inform business decisions, often working with statistical tools. While both roles handle data, Vector Ai is more specialized in AI technology, whereas Data Analysts focus on data insights and reporting.

What is a Vector AI?

Vector AI typically refers to professionals or technologies focused on vector-based artificial intelligence, which involves the use of high-dimensional vectors to represent data and perform machine learning tasks. These experts work on algorithms that process and analyze vector data for applications like image recognition, natural language processing, and recommendation systems. Their work is crucial in making AI systems more efficient at understanding complex patterns in large datasets. In some contexts, 'Vector AI' may also refer to companies or platforms developing such technologies.
What are popular job titles related to Vector Ai jobs in Utah? For Vector Ai jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Vector Ai jobs in Utah look for? The top searched job categories for Vector Ai jobs in Utah are:
What cities in Utah are hiring for Vector Ai jobs? Cities in Utah with the most Vector Ai job openings:
Vector Ai jobs near you

AI Engineer

System One

Salt Lake City, UT • On-site

Full-time

Re-posted 29 days ago

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