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Remote Ai Prompt Engineer Trainee Jobs in Utah (NOW HIRING)

MGT

AI Solutions Architect

Salt Lake City, UT · On-site +1

$61 - $80.25/hr

Comfort with concepts such as RAG pipelines, agentic workflows, prompt engineering, cloud ... Remote employees are expected to travel periodically to an MGT office or client location based on ...

Wsgr

Senior AI Security Engineer

Salt Lake City, UT · On-site +1

$110K - $151K/yr

The Senior AI Security Engineer, under the direction of the Director, Security Engineering and ... prompt injection attack surfaces, and tool call authorization models before any MCP server is ...

Bread Financial

Senior Staff Agentic AI Engineer

Draper, UT · On-site +1

$99K - $134K/yr

Model resilience around model failures and promote AInative engineering practices, including prompt ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Applause

AI Solutions Engineer

Salt Lake City, UT · On-site +1

Jeff Martin, CTO We're looking for an AI Solutions Engineer to drive AI adoption across every team ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

Applause

AI Solutions Engineer

Salt Lake City, UT · Remote

Jeff Martin, CTO We're looking for an AI Solutions Engineer to drive AI adoption across every team ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

Bread Financial

Product Manager AI Platforms

Draper, UT · On-site +1

$144K - $250K/yr

Hands-on experience with prompt engineering, agent fleets and orchestration frameworks, or AI ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Bolo AI

Software Engineer - AI-Native Full Stack Bolo AI Bay Area (Hybrid) | Salt Lake City Area (Remote) | Full-Time Senior Engineer The Role Has Changed Three person engineering teams are building what ...

Podium

Staff AI Engineer - USA

Lehi, UT · On-site +1

Staff AI Engineer The Role We are looking for a talented Staff AI Engineer to help build and scale ... Strong understanding of prompt design, context engineering, and guardrail strategies for dependable ...

Podium

Senior AI Engineer - Agentic

Lehi, UT · On-site +1

$98K - $134K/yr

Strong understanding of prompt design, context engineering, and guardrail strategies for dependable ... Join the leaders in AI agents * Unlock career-defining growth * Build with world-class talent

CoorsTek

AI Deployment Engineer

Logan, UT · On-site +1

Salary range is subject to location, as this role can be remote. Roles and Responsibilities ... AI use. * Support citizen developers and solution owners by establishing guardrails, providing ...

New

CoorsTek

AI Deployment Engineer

Salt Lake City, UT · On-site +1

Salary range is subject to location, as this role can be remote. Roles and Responsibilities ... AI use. * Support citizen developers and solution owners by establishing guardrails, providing ...

New

CoorsTek

AI Deployment Engineer

Providence, UT · On-site +1

Salary range is subject to location, as this role can be remote. Roles and Responsibilities ... AI use. * Support citizen developers and solution owners by establishing guardrails, providing ...

New

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Remote Ai Prompt Engineer Trainee information

What is a Remote AI Prompt Engineer Trainee?

A Remote AI Prompt Engineer Trainee is an entry-level professional who works remotely to learn how to design, test, and optimize prompts for artificial intelligence models, such as large language models. Their main responsibility is to develop effective queries or instructions that guide AI models to produce accurate and relevant outputs. Trainees often work under the supervision of experienced prompt engineers and participate in hands-on training, gaining practical experience with AI tools and prompt engineering best practices. This role is ideal for individuals interested in AI, natural language processing, and technology-driven problem solving.

What are the key skills and qualifications needed to thrive as a Remote AI Prompt Engineer Trainee?

To thrive as a Remote AI Prompt Engineer Trainee, you need a strong foundation in language proficiency, analytical thinking, and a basic understanding of artificial intelligence concepts, often complemented by coursework or certifications in computer science or related fields. Familiarity with AI platforms, prompt engineering tools, and collaborative systems like GitHub or Slack is typically expected. Creativity, attention to detail, and effective communication are standout soft skills for this position. These skills and qualities are vital for designing precise prompts, troubleshooting outputs, and collaborating efficiently in remote, cross-functional teams.

What are the typical challenges faced by a Remote AI Prompt Engineer Trainee when collaborating with cross-functional teams?

As a Remote AI Prompt Engineer Trainee, one common challenge is effectively communicating technical concepts and prompt design strategies with team members from non-technical backgrounds, such as product managers or UX designers. Since work is remote, navigating time zones and ensuring clear documentation can also be difficult. However, regular virtual meetings, proactive updates, and using collaborative tools help bridge these gaps, allowing trainees to contribute meaningfully to AI model development and refinement.

What is the difference between Remote Ai Prompt Engineer Trainee vs Remote Ai Prompt Engineer?

AspectRemote Ai Prompt Engineer TraineeRemote Ai Prompt Engineer
Required CredentialsBasic understanding of AI and prompts, often entry-level certifications or self-taughtAdvanced knowledge of AI, experience with prompt engineering, and relevant certifications
Work EnvironmentTraining programs, internships, or entry-level roles, often remoteFull-time remote positions, working on complex AI prompt development
Employer & Industry UsageTech companies, startups, AI service providers, focusing on learning and developmentEstablished companies, AI research labs, and product teams deploying AI solutions

The main difference between a Remote Ai Prompt Engineer Trainee and a Remote Ai Prompt Engineer is experience level and responsibility. Trainees are in learning phases, focusing on acquiring skills, while engineers are experienced professionals actively developing and optimizing AI prompts for real-world applications.

What are popular job titles related to Remote Ai Prompt Engineer Trainee jobs in Utah?

For Remote Ai Prompt Engineer Trainee jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Remote Ai Prompt Engineer Trainee jobs in Utah look for?

The top searched job categories for Remote Ai Prompt Engineer Trainee jobs in Utah are:

What cities in Utah are hiring for Remote Ai Prompt Engineer Trainee jobs?

Cities in Utah with the most Remote Ai Prompt Engineer Trainee job openings:

Remote Ai Prompt Engineer Trainee jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Orem, UT • Remote

Full-time

Re-posted 16 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply