Prompt Engineer II
Job in
Las Vegas, Clark County, Nevada, 89105, USA
Listed on 2026-06-12
Listing for:
ChatGPT Jobs
Full Time
position Listed on 2026-06-12
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Overview
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
:
Prompt Engineer II
Location
:
Las Vegas, NV (On-site, with possible remote options as determined by business needs).
- 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.
- 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, problem-solving, critical-thinking, written, and verbal communication. Ability to translate business needs into practical AI solutions. - Preferred:
Experience with AWS AI services, OpenAI APIs, Anthropic APIs, or healthcare/benefits administration/regulated industries.
Bachelor's degree in Computer Science, Engineering, Information Technology, or related field preferred. Equivalent work experience considered. Demonstrated experience building/implementing AI-powered solutions in a business environment.
Benefits- Work from home flexibility based on business needs and policies.
- Schedule:
Monday-Friday, 8 a.m. to 5 p.m. - Medical, Vision, and Dental plans with company premium contributions.
- Vacation and sick time, 8 paid holidays plus a floating holiday.
- 401k with company match after 90 days.
- Other ancillary benefits.
- Growth and development through in-house training and on-the-job development.
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