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Manager Prompt Engineering Jobs in Utah (NOW HIRING)

Manage and optimize CI/CD pipelines with AI-enhanced automation for build, test, and deployment processes * Apply prompt engineering techniques to maximize effectiveness of AI coding tools for your ...

Manage and optimize CI/CD pipelines with AI-enhanced automation for build, test, and deployment processes * Apply prompt engineering techniques to maximize effectiveness of AI coding tools for your ...

Manage and optimize CI/CD pipelines with AI-enhanced automation for build, test, and deployment processes * Apply prompt engineering techniques to maximize effectiveness of AI coding tools for your ...

Agentic AI Engineer

Salt Lake City, UT · Hybrid

$130K - $170K/yr

... managers and customer success to deeply understand user problems and translate them into elegant, production-grade AI solutions * Own the full lifecycle of AI features - from prompt engineering and ...

Partner with Sales Engineering leadership to define and operationalize the future PSE model ... prompt libraries, knowledge pipelines, or connector based workflows. * Experience managing global ...

Agentic AI Engineer

Salt Lake City, UT · Hybrid

$130K - $170K/yr

... managers and customer success to deeply understand user problems and translate them into elegant, production-grade AI solutions * Own the full lifecycle of AI features - from prompt engineering and ...

Agentic AI Engineer

Salt Lake City, UT · On-site

$130K - $170K/yr

... managers and customer success to deeply understand user problems and translate them into elegant, production-grade AI solutions * Own the full lifecycle of AI features - from prompt engineering and ...

You own how the system reasons, including prompt design, context management, model integration, and ... This role requires strong software engineering fundamentals, deep hands-on experience with modern ...

Senior Software Engineer

Sandy, UT

$116K - $153K/yr

Collaborate with product managers, designers, and other engineers to understand requirements and ... Apply prompt engineering and Agentic coding techniques to accelerate your work and improve output ...

Senior Software Engineer

Sandy, UT · On-site

$116K - $153K/yr

Collaborate with product managers, designers, and other engineers to understand requirements and ... Apply prompt engineering and Agentic coding techniques to accelerate your work and improve output ...

... strong prompt engineering skills and the ability to work across multiple models/tools and select ... Comfortable working in a fast-paced environment, managing competing priorities, and consistently ...

Sr. Applied AI Engineer

Salt Lake City, UT

$101K - $138K/yr

Designed LLM strategies covering tool calling, structured outputs, prompt engineering, and context window management * Implemented AI safety and evaluation pipelines covering bias detection, PII ...

Sr. Applied AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

Designed LLM strategies covering tool calling, structured outputs, prompt engineering, and context window management * Implemented AI safety and evaluation pipelines covering bias detection, PII ...

... strong prompt engineering skills and the ability to work across multiple models/tools and select ... Comfortable working in a fast-paced environment, managing competing priorities, and consistently ...

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Manager Prompt Engineering information

What is a manager of prompt engineering?

A Manager of Prompt Engineering is a professional who leads teams focused on designing, developing, and optimizing prompts for artificial intelligence models, particularly large language models (LLMs) like ChatGPT. They oversee the creation of effective prompts to ensure AI systems provide accurate, relevant, and safe responses. This role involves collaborating with data scientists, engineers, and product managers, as well as setting best practices for prompt creation and evaluation. Additionally, they may be responsible for training team members and implementing strategies to improve prompt performance over time.

What are the key skills and qualifications needed to thrive as a manager of prompt engineering?

To thrive as a Manager of Prompt Engineering, you need expertise in natural language processing, AI model deployment, and prompt design, typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), prompt engineering platforms, and version control systems is expected, along with experience managing technical teams. Strong leadership, problem-solving, and communication skills distinguish top performers in this role. These abilities are crucial for ensuring effective AI solutions, driving team productivity, and aligning prompt engineering initiatives with organizational goals.

How does a manager of prompt engineering typically collaborate with cross-functional teams to optimize AI outputs?

As a Manager of Prompt Engineering, you will frequently collaborate with data scientists, software engineers, product managers, and UX designers to refine and optimize prompt strategies for AI models. This involves translating business requirements into effective prompt templates, conducting prompt experiments, and communicating findings to stakeholders. Regular cross-functional meetings and feedback sessions are common, ensuring that the AI outputs align with both technical capabilities and user needs. Building strong relationships across teams is essential for successfully iterating on prompt designs and deploying scalable solutions.
What are the most commonly searched types of Prompt Engineering jobs in Utah? The most popular types of Prompt Engineering jobs in Utah are:
What cities in Utah are hiring for Manager Prompt Engineering jobs? Cities in Utah with the most Manager Prompt Engineering job openings:

Software Engineer - AI

Lightspeed DMS

South Jordan, UT • On-site

Other

Posted 21 days ago


Job description

We are an innovative and collaborative team looking to be at the forefront of AI-powered software development. We're seeking Software Engineers - AI who are passionate about leveraging artificial intelligence to accelerate development, enhance code quality, and solve complex technical challenges. This role requires professionals who embrace AI-assisted coding workflows, prompt engineering, and modern development practices while maintaining excellence in traditional software engineering fundamentals. Ideal candidates thrive in fast-paced environments and are excited about the intersection of AI and software development.

What you'll do:
  • Leverage AI coding assistants (Claude, GitHub Copilot, or similar) to accelerate development, refactoring, and code review processes
  • Collaborate in Agile teams to refine requirements, estimate tasks, and contribute to sprint activities with AI-enhanced productivity
  • Design and implement software solutions using object-oriented principles, ensuring reusability, scalability, and maintainability
  • Develop clean, efficient, well-documented code with AI assistance while maintaining high standards of code ownership and understanding
  • Utilize AI tools for automated testing, test case generation, and maintaining comprehensive unit test coverage
  • Participate in AI-assisted code reviews, focusing on architecture decisions, logic validation, and security considerations
  • Work closely with business, product management, QA, and hosting teams to facilitate smooth rollouts across AWS environments (development, staging, production)
  • Manage and optimize CI/CD pipelines with AI-enhanced automation for build, test, and deployment processes
  • Apply prompt engineering techniques to maximize effectiveness of AI coding tools for your specific development tasks
  • Use team tools including Jira, GitLab, SwaggerHub, Bruno, and AI platforms for project tracking, version control, API documentation, and testing
  • Maintain comprehensive documentation in Confluence, leveraging AI to keep resources current and accessible
  • Contribute to team knowledge sharing on AI tool best practices, effective prompts, and AI-assisted development workflows
What you should have:

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related field with 3-5 years of development experience, including 1+ years of agentic AI development experience; or equivalent experience in lieu of a degree
  • Proficiency in Python and Java (3-5 years each), with hands-on experience in AWS cloud environments
  • Demonstrated experience using agentic coding tools (Claude Code, GitHub Copilot, Cursor, or similar), including the ability to critically evaluate, validate, and debug AI-generated code
  • Strong computer science fundamentals, including data structures, algorithms, object-oriented design, and software architecture principles
  • Proven experience with Agile and Scrum methodologies in fast-paced development environments
  • Experience developing and integrating RESTful APIs with proficiency in SQL and relational databases
  • Understanding of distributed systems and microservices architecture
  • Working knowledge of Linux/Unix operating systems and command-line tools
  • Strong communication and collaboration skills, with a growth mindset and ability to prioritize effectively in a fast-paced environment

Preferred Qualifications:

  • Experience with prompt engineering and optimizing AI tool outputs for software development tasks
  • Familiarity with test-driven development (TDD) and achieving high code coverage standards, including AI-generated test cases
  • Knowledge of AI model capabilities, limitations, and best practices for AI-assisted development
  • Experience integrating front-end and back-end systems with modern architectural patterns
  • Proficiency with modern databases (PostgreSQL preferred) and microservices architecture
  • Knowledge of containerization and orchestration technologies (Docker, Kubernetes)
  • Experience with infrastructure as code (Terraform) and DevOps practices
  • Understanding of code quality tools, static analysis, and automated security scanning
  • Contributions to open-source projects or technical blog posts demonstrating AI-assisted development expertise