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Generative Ai Prompt Engineer Jobs (NOW HIRING)

This upcoming fully remote role will support enterprise AI initiatives focused on conversational AI, generative AI experiences, prompt engineering, and intelligent automation solutions across ...

This upcoming fully remote role will support enterprise AI initiatives focused on conversational AI, generative AI experiences, prompt engineering, and intelligent automation solutions across ...

Stay abreast of the latest advancements in LLMs, generative AI, and prompt engineering techniques ... Fine-tuning & RAG Support: Provide input and collaborate on strategies for model fine-tuning and ...

AI Prompt Engineer

$58K - $115K/yr

Stay abreast of the latest advancements in LLMs, generative AI, and prompt engineering techniques ... Fine-tuning & RAG Support: Provide input and collaborate on strategies for model fine-tuning and ...

Stay abreast of the latest advancements in LLMs, generative AI, and prompt engineering techniques ... Fine-tuning & RAG Support: Provide input and collaborate on strategies for model fine-tuning and ...

Stay abreast of the latest advancements in LLMs, generative AI, and prompt engineering techniques ... Fine-tuning & RAG Support: Provide input and collaborate on strategies for model fine-tuning and ...

Senior Gen AI Engineer

Plano, TX · On-site

$117K - $154K/yr

This role focuses on advanced Generative AI applications, requiring hands-on experience in prompt engineering, connecting Large Language Models (LLMs), and developing Agentic AI solutions. The ...

Role: AI Prompt Engineer Location: Pittsburgh, PA/Dallas, TX We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines ...

Job Summary : Tata Consultancy Services is seeking a Gen AI Engineer to work with generative AI technologies. The role involves prompt engineering, connecting large language models (LLMs), and ...

Design, test, and optimize prompts for large language models and generative AI applications ... Strong understanding of prompt engineering techniques, model behavior, context management, and ...

Prompt Engineer II

Las Vegas, NV · On-site +1

$115K/yr

Design, test, and optimize prompts for large language models and generative AI applications ... Strong understanding of prompt engineering techniques, model behavior, context management, and ...

We are seeking an AI Prompt Engineer to be the builder behind our "AI-First" transformation. You will be part of the Business Technology AI Engineering team, building production-grade AI solutions ...

We are seeking an AI Prompt Engineer to be the builder behind our "AI-First" transformation. You will be part of the Business Technology AI Engineering team, building production-grade AI solutions ...

Job Title: Generative AI Engineer Location: Dallas, TX (Onsite 5 days/week) Employment Type ... Implement prompt engineering, embeddings, and vector search solutions * Build scalable APIs and ...

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Generative Ai Prompt Engineer information

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$81K

$106.4K

$181K

How much do generative ai prompt engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for generative ai prompt engineer in the United States is $106,377.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What is the difference between Generative Ai Prompt Engineer vs Data Scientist?

AspectGenerative Ai Prompt EngineerData Scientist
Required CredentialsKnowledge of AI models, programming skills, familiarity with NLPDegree in Data Science, Statistics, or related field; programming skills
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, tech industries
Employer & Industry UsageDevelops prompts for AI models, focuses on language generationAnalyzes data, builds models, derives insights

While both roles require programming skills and familiarity with data and AI, Generative Ai Prompt Engineers specialize in crafting prompts to optimize AI language models, whereas Data Scientists focus on analyzing data and building predictive models. The roles often overlap in tech environments but serve different core functions.

What engineers make 500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or AI/ML engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Roles involving leadership, architecture, or executive responsibilities often command these compensation levels, particularly in large tech companies or startups with equity options.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI researchers, machine learning executives, or specialized AI consultants, often in large tech companies or startups with significant funding. These positions usually require advanced skills in AI, deep learning, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and a track record of impactful projects.

What are Generative AI Prompt Engineers?

Generative AI Prompt Engineers are professionals who design, develop, and refine prompts to optimize the performance of generative AI models, such as large language models or image generators. They work to understand how these models interpret inputs and craft prompts that achieve specific outputs or behaviors. Their work often involves experimentation, data analysis, and collaboration with machine learning teams to improve AI-generated content, ensuring it is accurate, relevant, and aligned with user or business goals.

What are the key skills and qualifications needed to thrive as a Generative AI Prompt Engineer, and why are they important?

To thrive as a Generative AI Prompt Engineer, you need a strong grasp of natural language processing, machine learning concepts, and experience with large language models, often supported by a degree in computer science or a related field. Familiarity with AI development frameworks (such as TensorFlow or PyTorch), prompt engineering tools, and APIs like OpenAI's GPT is typically required. Creative problem-solving, attention to detail, and effective communication are vital soft skills for crafting high-quality prompts and collaborating with interdisciplinary teams. These skills ensure the creation of robust, contextually relevant prompts that drive optimal AI outputs and innovation in conversational AI applications.

How much do prompt AI engineers make?

Prompt AI engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and natural language processing can command higher salaries, especially in tech hubs or large organizations.

What are some common challenges Generative AI Prompt Engineers face when collaborating with cross-functional teams?

Generative AI Prompt Engineers often work closely with data scientists, product managers, and designers to develop, refine, and implement AI-driven solutions. A common challenge in this collaboration is ensuring that prompts are both technically feasible and aligned with user needs or business goals. Effective communication is crucial, as team members may have varying levels of familiarity with prompt engineering concepts. Prompt Engineers must frequently translate technical requirements into actionable tasks and provide clear feedback on what is or isn't possible within current AI model capabilities.

Is there a demand for AI prompt engineers?

There is increasing demand for AI prompt engineers as organizations seek to optimize interactions with large language models and generative AI systems. Skills in natural language processing, prompt design, and familiarity with AI tools are highly valued in this emerging field, leading to growing job opportunities across various industries.
What are the most commonly searched types of Generative Ai Prompt Engineer jobs? The most popular types of Generative Ai Prompt Engineer jobs are:
What job categories do people searching Generative Ai Prompt Engineer jobs look for? The top searched job categories for Generative Ai Prompt Engineer jobs are:
Infographic showing various Generative Ai Prompt Engineer job openings in the United States as of June 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $106,377 per year, or $51.1 per hour.
AI Prompt Engineer

AI Prompt Engineer

Team Red Dog

Redmond, WA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Job description

Team Red Dog is building a pipeline of qualified candidates for an anticipated AI Prompt Engineer opportunity with a premier enterprise technology client expected to open within the next month. This upcoming fully remote role will support enterprise AI initiatives focused on conversational AI, generative AI experiences, prompt engineering, and intelligent automation solutions across customer-facing and internal platforms. The ideal candidate will bring strong expertise in prompt engineering, software development, testing, debugging, and AI workflow optimization while helping improve AI response quality, scalability, and user experience across complex enterprise environments. This is an exciting opportunity to position yourself early for a high-impact role supporting next-generation AI solutions within a world-class technology organization.

Top Required Skills (Must Haves):

  1. Prompt Engineering & Conversational AI – Experience designing, optimizing, and testing prompts, conversational workflows, and AI response strategies for enterprise AI applications, chatbots, or virtual assistants using LLM and generative AI technologies.
  2. Software Engineering & Troubleshooting – Strong programming and debugging skills with experience developing, testing, and supporting large-scale software systems, automation workflows, and production AI implementations.
  3. AI System Design & Implementation – Experience translating business and technical requirements into scalable AI-driven solutions, including prompt orchestration, workflow automation, deployment support, and system validation.
  4. Testing, QA & Optimization – Ability to perform unit testing, root cause analysis, quality assurance reviews, and prompt optimization to improve conversational accuracy, usability, and overall AI performance.

Opportunity Overview:
This opportunity offers the chance to work at the forefront of enterprise AI innovation, helping shape how users interact with intelligent systems across customer-facing and internal platforms. The role combines prompt engineering, conversational design, software engineering, and AI implementation expertise to support scalable generative AI initiatives in a fast-paced enterprise environment. Candidates will collaborate closely with engineering, product, UX, and business stakeholders while contributing to highly visible AI solutions that improve operational efficiency and user experience.

How you will make an impact:
• Design, develop, and optimize conversational prompts, workflows, and response strategies for AI-powered applications and enterprise systems
• Fine-tune AI-driven conversational interfaces and support sophisticated software implementation projects
• Gather and analyze business and technical requirements to build scalable AI prompt solutions aligned to organizational objectives
• Document conversational flows, prompt logic, implementation requirements, and technical specifications
• Recommend prompt optimization strategies that improve AI response quality, usability, and conversational accuracy
• Configure and customize AI-powered software solutions based on customer and stakeholder requirements
• Develop testing procedures, validation plans, and deployment support processes for conversational AI systems
• Build and maintain prompt orchestration workflows, automation capabilities, and response generation functionality
• Enhance existing prompt libraries and AI workflows to support evolving business needs and enterprise standards
• Perform troubleshooting, debugging, unit testing, and root cause analysis across modern and legacy systems
• Support migration activities, user acceptance testing (UAT), and production deployments
• Conduct quality assurance reviews to validate AI interaction quality and system performance
• Resolve defects and production issues identified during implementation and post-deployment validation activities
• Partner cross-functionally with engineering, product, UX, and business stakeholders to continuously improve AI experiences
• Maintain technical documentation, implementation guides, and prompt governance standards

The expertise you bring:
• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or related technical field
• 5–7 years of experience in software engineering, AI engineering, prompt engineering, or related technical roles
• Strong understanding of computer science fundamentals including data structures, algorithms, software architecture, and system design
• Experience designing and supporting enterprise-scale software systems and AI-driven applications
• Strong troubleshooting, debugging, testing, and root cause analysis experience across production systems
• Experience implementing conversational AI, prompt engineering, or generative AI solutions
• Strong programming skills with the ability to diagnose and resolve complex technical issues
• Experience gathering requirements and translating business needs into scalable technical solutions
• Strong written and verbal communication skills with experience collaborating across technical and non-technical teams
• Ability to independently manage multiple priorities and deliver high-quality technical solutions
• Experience working with large language models (LLMs), conversational AI platforms, or generative AI technologies preferred
• Familiarity with prompt engineering best practices, conversational design principles, and AI response optimization preferred
• Experience supporting enterprise AI deployments, QA processes, release management, and Agile/Scrum development environments preferred
• Strong analytical thinking, process improvement, and problem-solving capabilities

What makes a candidate highly successful in this role:
Successful candidates combine strong prompt engineering expertise with deep software engineering fundamentals and a practical understanding of enterprise AI implementation. They are highly effective at improving conversational AI quality through testing, debugging, optimization, and cross-functional collaboration while maintaining a strong focus on scalability, usability, and business impact. Candidates who stand out typically demonstrate experience delivering production-ready AI solutions, balancing technical depth with strong communication skills, and proactively identifying opportunities to improve AI-driven user experiences and operational workflows.

Why Work with Team Red Dog?
At Team Red Dog, people are at the heart of everything we do. Our commitment to personalized service and our deep experience in matching talented professionals with meaningful roles at some of the world's most inspiring companies is what sets us apart. We take the time to understand your unique skills, strengths, and passions—because we believe your career should reflect who you are.

Whether you're looking to grow, pivot, or simply find a place where your work truly matters, we offer opportunities that empower you to make a positive impact. With excellent benefits, a supportive team, and a role where you can thrive while doing what you love, we're here to help you take the next step with confidence. Join us—and discover what it means to be genuinely valued in your career.

Generous benefits package for qualified employees includes:
• Health insurance (medical, dental, vision, and life)
• Employer-matched 401K plan
• Paid time off
• Paid holidays

Estimated Start Date: Immediately
Location: Fully Remote (Preferred PST or EST)
Job #: 2525
Job Type and Estimated Duration: W2 contract opportunity with potential for extension up to 18 months subject to performance, budget and client discretion.
Rate: $66 - $71/hr.

Team Red Dog is committed to providing equal opportunities to everyone, regardless of race, ethnicity, gender, age, religion, sexual orientation, disability, or any other characteristic. If you need accommodation during the recruitment process, reach out to hr@teamreddog.com, and we will work to ensure an accessible experience. We strictly adhere to federal, state, and local laws to maintain a workplace free from discrimination and harassment.

We offer competitive compensation aligned with U.S. industry standards, and our final offer will reflect the candidate's location, job-specific skills, experience, and knowledge.

• All applicants must be authorized to work in the U.S. without the need for sponsorship.
• Team Red Dog is an E-Verify employer.
• Employment is contingent upon the successful completion of a reference and background check.
• Please no solicitations from C2C or recruiting firms.