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Manager Prompt Engineering Jobs in Utah (NOW HIRING)

Taxbit

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 ...

Taxbit

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 ...

TaxBit

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 ...

NICE

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 ...

NICE

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 ...

Octanner

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 ...

New

Varsity Tutors

ChatGPT Tutor

Logan, UT · Remote

$18 - $40/hr

... management, and responsible AI usage while preparing students for productive and ethical AI-assisted workflows. * Conceptual Teaching & Problem-Solving: Skilled at teaching prompt engineering ...

Atonom

Associate Deploy Consultant

Provo, UT

Recent graduate (or soon to be) in Business, Information Systems, Management Consulting ... Interested in LLMs and prompt engineering. You've spent some time with AI tools and have a sense of ...

NICE

Senior AI 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 ...

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All JobsPrompt Engineering JobsManager Prompt Engineering JobsManager Prompt Engineering Jobs in Utah

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, and why are they important?

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 are popular job titles related to Manager Prompt Engineering jobs in Utah? For Manager Prompt Engineering jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Manager Prompt Engineering jobs in Utah look for? The top searched job categories for Manager 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:
Manager Prompt Engineering jobs near you
Agentic AI Engineer

Agentic AI Engineer

Taxbit

Salt Lake City, UT • Hybrid

$130K - $170K/yr

Other

Retirement

Posted 8 days ago

Job description

Opportunity for Impact

TaxBit is seeking an Agentic AI Engineer excited by the intersection of AI and FinTech - building intelligent, customer-facing products that redefine how users interact with tax and compliance workflows. You'll be at the forefront of applied AI, designing and shipping agentic systems that operate autonomously, reason across complex data, and deliver world-class experiences to TaxBit's enterprise customers.

We welcome individuals who are humble, hungry, and eager to tackle some of the most interesting AI engineering challenges in financial technology.


Role and Responsibilities

  • Design, build, and deploy customer-facing agentic AI products using AWS-native technologies including Strands Agents, AgentCore, Bedrock, and Lambda
  • Architect multi-agent systems with reliable tool use, memory, and orchestration patterns that perform accurately in high-stakes financial contexts
  • Partner with product 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 agent design through evaluation, deployment, and monitoring
  • Write well-designed, well-tested, and maintainable code; participate in code reviews to maintain quality and distribute AI/ML knowledge across the team
  • Instrument and monitor agentic systems in production using observability tooling; iterate rapidly based on real user behavior and feedback
  • Collaborate cross-functionally with engineers, data teams, and compliance stakeholders to ensure AI outputs meet accuracy and regulatory standards

Professional Qualifications

  • 3+ years of professional software engineering experience, with at least 1 year building and shipping AI/LLM-powered applications in production
  • Hands-on experience with AWS AI/ML services - Bedrock, Strands, AgentCore, SageMaker, or equivalent agentic frameworks
  • Strong understanding of agentic patterns: tool use, RAG, memory management, multi-agent orchestration, and human-in-the-loop design
  • Experience designing and evaluating LLM pipelines including prompt engineering, output validation, and hallucination mitigation
  • Familiarity with AI observability, evaluation frameworks, and responsible AI practices
  • Ability to work in an agile environment and communicate complex AI concepts clearly to both technical and non-technical audiences
  • Bachelor's degree in Computer Science, Machine Learning, relevant technical field, or equivalent practical experience

Personal Characteristics

  • Strong coding skills in Python and/or TypeScript; comfort working across the stack as needed
  • Experience with AWS cloud infrastructure, IAM, Lambda, and related services; DataDog and GitHub CI/CD a plus
  • Curiosity-driven - you stay current with fast-moving AI research and tooling and bring new ideas to the team
  • High ownership mentality - you care about what happens after the code ships
  • Passion for building AI systems that are not just capable, but trustworthy and reliable in a compliance-sensitive environment

Compensation 

The base salary range for this role is $130,000 - $170,000. Certain roles may be eligible for incentive compensation, equity, and benefits. Actual compensation will vary depending on various job-related factors, including, but not limited to location, experience, level, and job qualifications.

Benefits & Perks

  • Competitive cash compensation (based on experience)
  • Equity (RSUs)
  • Competitive benefits package
  • A modern 401(k) plan that includes access to crypto, financial wellness benefits, low fees and more 
  • Hybrid working model: 3 days in-office, 2 days WFH/flexible
  • Monday team lunches, snacks and drinks 
  • Discretionary Time Off - enjoy the flexibility to rest, refuel, and recharge 
  • Paid parental leave to bond with your child 
  • Fertility Benefit 
  • Autonomous work and flexibility in how work is performed

Apply