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Llm Prompt Engineer Jobs (NOW HIRING)

... LLM and generative AI technologies. * Software Engineering & Troubleshooting - Strong programming and debugging skills with experience developing, testing, and supporting large-scale software systems ...

Senior Prompt Engineering Engineer

San Francisco, CA · On-site +1

$123K - $169K/yr

What we're looking for - 4+ years of experience shipping ML/AI or applied NLP systems, with at least 1-2 years focused on LLM prompt or agent engineering. - Deep familiarity with Claude, GPT, Gemini ...

... LLM and generative AI technologies. * Software Engineering & Troubleshooting - Strong programming and debugging skills with experience developing, testing, and supporting large-scale software systems ...

Senior WEM AQM Prompt Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Demonstrable understanding of LLM behavior -- including how prompt structure, instruction framing ... Formal prompt engineering certification: DeepLearning.AI Prompt Engineering for Developers ...

Senior WEM AQM Prompt Engineer

San Ramon, CA

$116K - $160K/yr

Demonstrable understanding of LLM behavior -- including how prompt structure, instruction framing ... Formal prompt engineering certification: DeepLearning.AI Prompt Engineering for Developers ...

Senior WEM AQM Prompt Engineer

OR · On-site +1

$104K - $143K/yr

Demonstrable understanding of LLM behavior - including how prompt structure, instruction framing ... Preferred Qualifications Formal prompt engineering certification: DeepLearning.AI Prompt ...

Senior WEM AQM Prompt Engineer

Dallas, TX

$103K - $142K/yr

Demonstrable understanding of LLM behavior -- including how prompt structure, instruction framing ... Formal prompt engineering certification: DeepLearning.AI Prompt Engineering for Developers ...

Senior WEM AQM Prompt Engineer

$107K - $146K/yr

AI Prompt Engineering Guide, or equivalent industry-recognized program. • Direct experience with one or more leading LLM platforms at an advanced level (OpenAI GPT-4+, Anthropic Claude, Google ...

Advanced Prompt Engineering * Structured Data Transformation, transformation rules, requirements ... LLM, LLM instructions * Build and Test AI workflows * AI Experience - Perplexity, ChatGPT or ...

... of LLM, Prompt Engineering, RAG Architecture, Agentic AI. • Basic knowledge of Hybrid prompting technique • Knowledge in Generative AI tools like LangChain, Hugging Face, Llama Index etc.

... of LLM, Prompt Engineering, RAG Architecture, Agentic AI. • Basic knowledge of Hybrid prompting technique • Knowledge in Generative AI tools like LangChain, Hugging Face, Llama Index etc.

... of LLM, Prompt Engineering, RAG Architecture, Agentic AI. • Basic knowledge of Hybrid prompting technique • Knowledge in Generative AI tools like LangChain, Hugging Face, Llama Index etc.

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Llm Prompt Engineer information

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How much do llm prompt engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for llm prompt engineer in the United States is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $45.43 and $71.15 per hour, depending on experience, location, and employer.

What is an LLM Prompt Engineer?

An LLM Prompt Engineer is a professional who specializes in designing, testing, and optimizing prompts for large language models (LLMs) such as GPT-4. Their role involves crafting effective instructions and queries to guide the model's output for specific applications, ensuring accuracy, relevance, and reliability. They may also analyze model behavior, implement prompt-based workflows, and collaborate with developers to integrate LLMs into products or services. The goal is to maximize the performance and efficiency of language models in various real-world contexts.

What are the key skills and qualifications needed to thrive as an LLM Prompt Engineer?

To thrive as an LLM Prompt Engineer, you need a deep understanding of natural language processing, prompt engineering strategies, and proficiency in programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), large language model APIs, and version control systems is typically required. Strong analytical thinking, creativity, and effective communication are crucial soft skills for crafting precise prompts and collaborating with cross-functional teams. These skills ensure the development of effective, ethical, and high-performing AI-powered solutions that meet diverse user needs.

What are some common challenges faced by LLM Prompt Engineers when designing effective prompts for large language models?

LLM Prompt Engineers often encounter challenges such as ensuring prompts are both clear and unambiguous to elicit accurate model responses, as well as avoiding bias or unintended outputs. Balancing creativity and specificity in prompt design can be tricky, especially when tailoring prompts for diverse user intents or specialized domains. Additionally, prompt engineers must frequently iterate and test their prompts, collaborating closely with data scientists and product teams to continually refine them based on observed model behavior and user feedback.

What is the difference between Llm Prompt Engineer vs Data Scientist?

AspectLlm Prompt EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; familiarity with NLP and AI toolsBachelor's or higher in CS, Statistics, or related fields; strong programming and statistical skills
Work EnvironmentAI labs, tech companies, startups focusing on NLP and AI modelsData analysis, modeling, and visualization in various industries like finance, healthcare, tech
Employer & Industry UsagePrimarily in AI development, NLP projects, and machine learning teamsAcross industries for data analysis, predictive modeling, and decision support

While both roles involve working with data and AI, Llm Prompt Engineers focus on designing prompts for language models, whereas Data Scientists analyze data to derive insights. The roles share similar educational backgrounds and work environments but differ in their core tasks and industry applications.

Are AI prompt engineers in demand?

AI prompt engineers are increasingly in demand as organizations seek to optimize interactions with large language models and AI systems. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, with job growth driven by expanding AI applications across industries.
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Infographic showing various Llm Prompt Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $121,086 per year, or $58.2 per hour.

AI Prompt Engineer

Team Red Dog

Redmond, WA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


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 , 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.