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Genai Engineer Jobs in Utah (NOW HIRING)

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Job Type: Permanent Full Time Location: Salt Lake City, Utah, United States How ... Design and develop AI-driven product features using ML, GenAI, and LLMs * Build and deploy scalable ...

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Job Type: Permanent Full Time Location: Salt Lake City, Utah, United States How ... Design and develop AI-driven product features using ML, GenAI, and LLMs * Build and deploy scalable ...

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Job Type: Permanent Full Time Location: Salt Lake City, Utah, United States How ... Design and develop AI-driven product features using ML, GenAI, and LLMs * Build and deploy scalable ...

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description ... Design and develop AI-driven product features using ML, GenAI, and LLMs * Build and deploy scalable ...

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description ... Design and develop AI-driven product features using ML, GenAI, and LLMs * Build and deploy scalable ...

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description ... Design and develop AI-driven product features using ML, GenAI, and LLMs * Build and deploy scalable ...

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description ... Design and develop AI-driven product features using ML, GenAI, and LLMs * Build and deploy scalable ...

Deloitte

Google AI Lead Architect

Salt Lake City, UT

$53.50 - $73.25/hr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and ... Cloud and GenAI Native Development: Design and deploy applications using Cloud Native principles on ...

Berkadia

Senior Engineer - Machine Learning

Midvale, UT · Hybrid

$98K - $135K/yr

As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting ... Stay up-to-date with the rapidly evolving ML and GenAI landscape; self-learning and curiosity are ...

Berkadia

Senior Engineer - Machine Learning

Midvale, UT · On-site

$98K - $135K/yr

As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting ... Stay up-to-date with the rapidly evolving ML and GenAI landscape; self-learning and curiosity are ...

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Genai Engineer information

What is a GenAI engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

What are the key skills and qualifications needed to thrive as a GenAI engineer, and why are they important?

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.

What are some typical challenges a GenAI engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

What are popular job titles related to Genai Engineer jobs in Utah?

For Genai Engineer jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Genai Engineer jobs in Utah look for?

The top searched job categories for Genai Engineer jobs in Utah are:

Genai Engineer jobs near you
Infographic showing various Genai Engineer job openings in Utah as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

AI Engineer

System One

Salt Lake City, UT • On-site

Full-time

Re-posted 10 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