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Prompt Engineer II

Job in Las Vegas, Clark County, Nevada, 89105, USA
Listing for: ChatGPT Jobs
Full Time position
Listed on 2026-07-10
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 90000 - 150000 USD Yearly USD 90000.00 150000.00 YEAR
Job Description & How to Apply Below

Prompt Engineer II – Las Vegas, NV

Location: On-site and Remote

Company

Veteran Benefits Guide (VBG) – Founded by a U.S. Marine Corps Veteran, serving Veterans for 10+ years, 250+ team members, helped 55,000+ Veterans with VA claims.

Role Summary

Seeking an innovative and technically skilled Prompt Engineer II to design, develop, and optimize AI‑powered solutions that improve business operations, employee productivity, and customer experiences. Blends prompt engineering, AI workflow development, business analysis, experimentation, and technical implementation.

What You’ll Do AI Solution Design and Development
  • Design, test, and optimize prompts for large language models and generative AI applications.
  • Develop AI‑powered workflows, assistants, agents, and automation solutions.
  • Translate business requirements into effective AI solutions and prompt frameworks.
  • Improve AI output quality, accuracy, consistency, and reliability.
  • Build and maintain reusable prompt libraries, templates, and documentation.
  • Collaborate with engineering teams to integrate AI capabilities into existing applications and systems.
AI Workflow and Agent Development
  • Design, build, and maintain AI‑powered agents and workflow automations.
  • Integrate AI solutions with internal systems, APIs, knowledge repositories, and business applications.
  • Develop multi‑step AI workflows to automate tasks, improve efficiency, and enhance user experiences.
  • Evaluate and optimize agent performance, reliability, and business impact.
  • Identify opportunities for AI‑driven automation and process improvement.
AI Optimization and Evaluation
  • Conduct testing and experimentation to improve prompt performance and model outcomes.
  • Develop evaluation frameworks, benchmarks, and success metrics for AI solutions.
  • Analyze AI outputs and identify opportunities to improve effectiveness and reduce inaccuracies.
  • Monitor AI performance and recommend enhancements based on business needs and user feedback.
  • Stay current on emerging AI technologies, models, tools, and industry best practices.
Business Collaboration and Innovation
  • Partner with stakeholders to identify AI‑driven process improvements.
  • Facilitate discovery sessions to understand business needs and operational challenges.
  • Provide recommendations on AI use cases, automation opportunities, and implementation strategies.
  • Assist with AI governance, risk management, and responsible AI practices.
  • Support change management, user adoption, and AI training initiatives.
Documentation and Knowledge Management
  • Create and maintain prompt documentation, testing results, implementation guides, and best practices.
  • Document AI workflows, business requirements, and solution designs.
  • Share knowledge and educate team members on AI capabilities and emerging trends.
  • Support the development of standards and processes for AI usage across the organization.
What We’re Looking For
  • Experience:

    3–5 years hands‑on in AI, generative AI, prompt engineering, or AI solution development.
  • Prompt Engineering:
    Demonstrated creation, testing, and optimization of prompts for large language models.
  • Workflow Design:
    Designing and optimizing AI‑powered workflows, agents, and multi‑step automations.
  • Agent Solutions:
    Developing agent‑based solutions for reasoning, task execution, data retrieval, and workflow automation.
  • AI Platforms:
    Hands‑on with OpenAI, Anthropic, Google Gemini, Meta Llama, Amazon Bedrock, or similar.
  • Performance Evaluation:
    Evaluating AI performance, refining outputs, and improving prompt effectiveness.
  • Technical Knowledge:
    Strong understanding of prompt engineering techniques, model behavior, context management, and output optimization. Experience with RAG, embeddings, vector databases, and AI evaluation methodologies.
  • Technical

    Skills:

    Familiarity with APIs, JSON, integrations, AI development platforms. Experience orchestrating LLMs with external tools, APIs, knowledge bases, and business systems.
  • Frameworks:
    Familiarity with Lang Chain, Lang Graph, CrewAI, OpenAI Assistants, Microsoft Copilot Studio, Amazon Bedrock, or similar.
  • Governance:
    Understanding of AI governance, prompt security, model limitations, and responsible AI practices.
  • Soft Skills:

    Strong analytical,…
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