1

Vector Databases Jobs in Pleasant Grove, UT (NOW HIRING)

... with vector databases and embedding models - Track record of fine-tuning models on domain-specific data - Experience processing and managing data pipelines - Contributions to open-source AI/ML ...

You have substantive, hands-on experience building and deploying LLM-based solutions - RAG pipelines, vector databases, agent frameworks, prompt engineering at scale. Using Copilot or ChatGPT at work ...

... with vector databases and semantic search architectures - Translating complex business problems into AI solution designs - Contributing to business development and proposal writing - Cloud ...

Manager of Product Development | AI Platform

Lehi, UT · Hybrid

$107K - $134K/yr

Knowledge of modern artificial intelligence frameworks including retrieval-augmented generation, vector databases, orchestration frameworks, and observability tools * Familiarity with emerging ...

Experience developing RAG solutions, vector databases, memory systems, prompt engineering strategies, and model optimization techniques. * Knowledge of modern AI development tools, coding assistants ...

... vector databases and orchestration tools like LangChain - Translating complex business problems into software-engineered AI solutions - Deploying on cloud platforms like AWS, GCP, Azure ...

Nice to have: Familiarity with LLM fine-tuning, retrieval-augmented generation (RAG), vector databases (FAISS, Pinecone, OpenSearch), LLM optimization, VLLM library, HuggingFace library or ...

Showing results 21-40

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?

AspectVector DatabasesData Engineers
Required SkillsDatabase management, data modeling, query optimizationData pipeline development, ETL processes, programming
Work EnvironmentData storage systems, AI/ML projects, cloud platformsData infrastructure, cloud environments, big data tools
Industry UsageAI, machine learning, recommendation systemsData 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 Pleasant Grove, UT? For Vector Databases jobs in Pleasant Grove, UT, the most frequently searched job titles are:
What cities near Pleasant Grove, UT are hiring for Vector Databases jobs? Cities near Pleasant Grove, UT with the most Vector Databases job openings:
Infographic showing various Vector Databases job openings in Pleasant Grove, UT as of August 2026, with employment types broken down into 82% Full Time, 11% Part Time, 1% Temporary, and 6% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Full Stack AI Engineer (Agentic Systems) - Remote - USA

FullStack Labs

Salt Lake City, UT • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago


Job description

About FullStack
FullStack is one of the fastest-growing software consultancy companies in the Americas. We deliver transformational digital solutions to top global companies and Silicon Valley startups. As an employee-first company, we focus on hiring the most talented software designers and developers by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.
We're most proud of:
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.2-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position
We're looking to hire a Full-Stack AI Engineer (Agentic Systems) to join our team. This is a high-impact, client-facing role designed for a "plus-plus" version of a developer, someone who doesn't just build, but defines the architecture of how global enterprises adopt agentic workflows. You will serve as a strategic consultant and technical lead, helping regulated industries and Fortune 500 clients transition from traditional development to AI-augmented engineering productivity.
What We Are Looking For
  • 5+ years of professional full-stack software engineering experience.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Expertise in building agentic AI workflows and autonomous AI systems.
  • Hands-on experience utilizing Claude Code and modern LLM platforms (Anthropic Claude, OpenAI).
  • Strong history of developing AI-powered web applications using React, Next.js, JavaScript, and TypeScript.
  • Extensive experience building backend services and APIs with Node.js or Python.
  • Track record of productizing early-stage Generative AI prototypes into scalable, production-ready MVPs.
  • Solid understanding of cloud-based architectures on AWS and containerization tools such as Docker.
  • Well-versed in database management systems, including PostgreSQL and MongoDB.
  • 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 environments.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile/Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on the commitments you and your team make to them.
  • Ability to consistently work 40 hours per week.

What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave, parental leave, and holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .

FullStack Labs logo

About FullStack Labs

Sourced by ZipRecruiter

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Sacramento, CA, US

Year founded

2013

Social media