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Generative Ai Prompt Writing Jobs in Utah (NOW HIRING)

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 ...

Senior Engineer - Machine Learning

Midvale, UT · On-site

$98K - $135K/yr

Write maintainable, high-quality code using Python and modern cloud infrastructure; use notebooks ... and generative AI systems (e.g., LLMs, retrieval-augmented generation, prompt engineering)

New

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 ...

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 ...

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 ...

Leverages deep expertise in Generative AI, Agentic AI systems, LLM orchestration, and MLOps ... Experience developing RAG solutions, vector databases, memory systems, prompt engineering ...

You will drive strategic engagement with Adobe's generative AI offerings, building lasting ... Excellent verbal and written communication skills, strong presentation abilities, and outstanding ...

Showing results 21-40

Generative Ai Prompt Writing information

What are some common challenges faced by generative AI prompt writers in ensuring high-quality outputs?

Generative AI Prompt Writers often encounter challenges such as crafting prompts that yield accurate, relevant, and unbiased responses from AI systems. Balancing creativity with clarity is key, as overly vague or complex prompts can lead to inconsistent outputs. Additionally, prompt writers must stay updated with evolving AI model behaviors and regularly experiment to refine their techniques, ensuring outputs meet project goals and ethical standards. Collaboration with developers, product teams, and subject matter experts is also crucial to continuously improve prompt effectiveness.

What are the key skills and qualifications needed to thrive as a generative AI prompt writer, and why are they important?

To thrive as a Generative AI Prompt Writer, you need strong skills in creative writing, critical thinking, and a solid understanding of AI language models, often supported by experience in content creation or computational linguistics. Familiarity with AI platforms such as OpenAI's GPT, prompt engineering tools, and basic programming or scripting knowledge are typically required. Exceptional communication, attention to detail, and adaptability help individuals craft effective prompts and collaborate with interdisciplinary teams. These skills ensure prompts are clear, relevant, and optimized for desired AI outputs, directly impacting the effectiveness and reliability of AI-generated content.

How to become a Generative AI Prompt Writer?

To become a Generative AI Prompt Writer, develop strong writing skills, understand AI language models, and learn how to craft effective prompts that guide AI outputs. Familiarity with tools like ChatGPT and knowledge of AI concepts can enhance your effectiveness. Building a portfolio of prompt examples and staying updated on AI advancements can improve job prospects.

Are generative AI prompt writers in demand?

Generative AI prompt writers are increasingly in demand as companies seek to improve AI interactions and content generation. Skills in natural language processing, creativity, and familiarity with AI tools like ChatGPT or GPT models are valuable for these roles, which are often found in tech, marketing, and content creation industries.

What is generative AI prompt writing?

Generative AI prompt writing involves crafting effective instructions or queries, known as prompts, to guide artificial intelligence models like ChatGPT or DALL-E in producing desired outputs. Prompt writers must understand how these models interpret language and structure their prompts to achieve specific results, whether that's generating text, images, or other creative content. This role requires creativity, technical understanding, and iterative testing to refine prompts for optimal performance. Effective prompt writing can significantly enhance the quality and relevance of AI-generated content.
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Infographic showing various Generative Ai Prompt Writing job openings in Utah as of August 2026, with employment types broken down into 29% Full Time, and 71% Contract. Highlights an 100% In-person job distribution.

AI Engineer

System One

Salt Lake City, UT • On-site

Contractor

Re-posted 6 days ago


Job description

Job Title: Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description: Junior AI Engineer Position Description Ready to take your career to the next level? CGI is seeking a Junior AI Engineer to design, build, and scale AI-powered product features from concept to production. In this role, you will work as a consultant supporting enterprise clients, solving complex business and technical challenges. You’ll collaborate with a high-performing team, contribute to impactful client solutions, and gain hands-on experience with cutting-edge AI and cloud-native technologies. This position is based onsite at a client location in the Salt Lake City, UT area! Your future duties and responsibilities 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