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Remote Prompt Engineer Jobs in Nevada (NOW HIRING)

Remote Prompt Engineer information

See Nevada salary details

$13

$57

$82

How much do remote prompt engineer jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for remote prompt engineer in Nevada is $57.02, according to ZipRecruiter salary data. Most workers in this role earn between $40.87 and $75.87 per hour, depending on experience, location, and employer.

What is a remote prompt engineer?

A Remote Prompt Engineer designs, refines, and optimizes prompts to improve interactions between users and AI models. They work with natural language processing (NLP) systems to enhance response accuracy and relevance. This role often involves testing different prompts, analyzing AI outputs, and collaborating with developers or researchers to fine-tune language models. Since the position is remote, engineers use online tools and communication platforms to collaborate with teams and stay updated on AI advancements.

What are the key skills and qualifications needed to thrive as a remote prompt engineer?

To thrive as a Remote Prompt Engineer, you need expertise in natural language processing, prompt design, and a background in computer science or a related field. Familiarity with AI platforms (such as OpenAI or Anthropic APIs), programming languages like Python, and prompt engineering tools is highly valuable. Outstanding communication, collaboration, and problem-solving skills help remote team members excel in optimizing AI performance. These competencies ensure tailored, effective AI solutions and smooth, results-driven teamwork from a remote environment.

What does a typical workday look like for a remote prompt engineer?

As a Remote Prompt Engineer, your workday often involves designing and testing prompts for various AI models, collaborating with product managers and developers, and analyzing model outputs to refine interactions. You may also participate in virtual team meetings to discuss project goals, provide feedback on AI performance, and stay updated on new advancements in prompt engineering. Routine responsibilities include documenting prompt structures, troubleshooting model behavior, and integrating feedback from client or user testing. This dynamic and collaborative environment enables you to contribute creative solutions and drive continuous improvement in AI-driven applications.

Are remote prompt engineers still in demand?

Remote prompt engineers are currently in demand as organizations seek expertise in designing effective prompts for AI language models. The role often requires skills in natural language processing, AI tools, and programming, with many companies offering remote positions due to the digital nature of the work.

What is the salary of remote prompt engineer?

The salary of a remote prompt engineer typically ranges from $70,000 to $130,000 annually, depending on experience, skills, and the company's size. Entry-level positions may start lower, while experienced professionals with specialized knowledge in AI and machine learning can earn higher salaries. Compensation often includes benefits such as flexible schedules and opportunities for skill development.

What are the most commonly searched types of Prompt Engineer jobs in Nevada?

The most popular types of Prompt Engineer jobs in Nevada are:

What are popular job titles related to Remote Prompt Engineer jobs in Nevada?

For Remote Prompt Engineer jobs in Nevada, the most frequently searched job titles are:

What cities in Nevada are hiring for Remote Prompt Engineer jobs?

Cities in Nevada with the most Remote Prompt Engineer job openings:

Infographic showing various Remote Prompt Engineer job openings in Nevada as of August 2026, with employment types broken down into 52% Full Time, 32% Part Time, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $118,595 per year, or $57 per hour.

Manager, AI-Native Software Engineering

Las Vegas, NV • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Job description

When life gets hard, we make it easier! Libra Solutions helps overcome the burdens created by slow-moving legal processes. Combining technical innovation and financial strength, we help speed up cumbersome workflows and ease financial barriers for our customers. 

Through the MoveDocs personal injury solutions platform, Libra integrates and streamlines medical, financial, and professional services for personal injury cases.  Our mission is to help personal injury victims receive the medical care and personal funding needs they require, and to help streamline the process for the attorneys and medical providers that serve these victims.  Libra operates under the MoveDocs, Oasis Financial and Probate Advance brands. We are proud of our mission and passionate about applying technology to the challenge of making healthcare more accessible. 

Together, under the Libra Solutions banner, we have relationships with over 50,000 attorneys and over 12,000 healthcare providers nationwide, which gives us an amazing platform to service our customers.   

Job description

The Manager, AI-Native Software Engineering leads a team of engineers building and maintaining the platforms that power Libra Solutions' products within an agentic delivery model. This role combines people leadership with technical oversight, and is accountable for delivering high-quality software, growing the team's AI-native capabilities, and ensuring the team operates effectively in a pod model where AI agents are active participants in the SDLC alongside human engineers. 

The ideal candidate is a player-coach who manages and develops a team effectively while staying connected to the technical work. They bring strong engineering depth in the Microsoft / Azure stack, proven people leadership skills, and demonstrated experience leading teams. This role partners closely with Engineering, Product, and business stakeholders to delivery high-quality software at scale.

This position reports to the Director of Engineering and can be based in any of our office locations in Denver, CO, Huntersville, NC, Rosemont, IL or Las Vegas, NV. We welcome strong remote candidates, with occasional travel to Las Vegas as needed.

Position Responsibilities:

Team Leadership and People Management

  • Manage, mentor, and develop a team of software engineers across all experience levels
  • Conduct regular 1:1s, provide timely and constructive feedback, and support each engineer's professional growth and career development
  • Partner with recruiting to grow the team by attracting and hiring engineers aligned with the team's AI-native technical direction
  • Set clear expectations, foster accountability, and build a culture of trust, collaboration, and continuous improvement
  • Address performance issues constructively and proactively

Engineering Delivery

  • Own the team's delivery commitments; ensure features, bug fixes, and technical investments are completed on time and meet quality standards
  • Participate in sprint planning, backlog refinement, and prioritization discussions with Product and stakeholders
  • Remove blockers, manage dependencies, and ensure the team has what it needs to execute effectively
  • Monitor and continuously improve team velocity, predictability, and delivery health within the agentic pod model
  • Technical Oversight and Practice
  • Maintain strong technical engagement: participate in architecture discussions, code reviews, and technical planning
  • Ensure the team adheres to engineering standards for C# / .NET, API design, database patterns, front-end development, and CI/CD using Azure DevOps
  • Identify and address technical debt; champion sustainable engineering practices
  • Drive adoption and effective use of AI-assisted development tools (GitHub Copilot, Claude, Azure OpenAI) across the team; ensure engineers are working in an agentic delivery rhythm where AI handles generation at scale and engineers own judgment, quality, and architectural decisions
  • Partner with other engineering leaders to define and uphold organizational AI development standards, prompt engineering practices, and AI output review requirements

Metrics and Continuous Improvement

  • Track and evaluate team-level engineering metrics, including sprint velocity and predictability, CI/CD pipeline health, production incidents, defect backlog trends, and system performance data to identify systemic issues and drive continuous improvement
  • Use data to communicate engineering health, technical decisions, tradeoffs, and statuses clearly to stakeholders and leadership
  • Contribute to engineering-wide initiatives including hiring practices, standards, tooling, and process improvement

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent professional experience
  • 7+ years of professional software development experience
  • 2+ years of people management or team leadership experience
  • Strong hands-on background in C# / ASP.NET Core, Entity Framework Core, SQL Server / Azure SQL, and React or Angular
  • Experience with Azure DevOps, CI/CD pipelines, and cloud-native deployment practices on Azure
  • Experience partnering closely with engineering, product, and business stakeholders in an agile delivery environment
  • Demonstrated ability to lead, develop, and retain a high-performing engineering team
  • Strong problem-solving, communication, organizational, and coaching skills
  • Hands-on familiarity with AI-assisted development tooling (GitHub Copilot, Claude, Azure OpenAI) and a demonstrated commitment to building AI-native engineering practices; able to coach engineers on effective prompt engineering, AI output evaluation, and responsible AI use
  • Experience leading teams within agentic or AI-accelerated delivery models, or a clear understanding of how agentic workflows change team rhythms, role expectations, and quality ownership

Benefits

Libra Solutions offers competitive compensation and benefits that include medical, dental, vision and life insurance plans, plus a 401k match and paid time off.