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Llm Prompt Engineer Jobs (NOW HIRING)

Cognizant

Prompt Engineer

Cognizant is a leading technology company, and they are seeking a Prompt Engineer (LLM / Generative AI) to design and deliver intelligent AI-powered solutions using large language models. The role ...

Inizio Partners Corp

Prompt Engineer

New York, NY · Hybrid

Use LLM-as-judge and feedback loops to improve responses * Continuously refine prompts based on ... Experience: 5-8+ years with 2-4+ years in GenAI / prompt engineering * Domain (Mandatory): Strong ...

Codertal

Prompt Engineer

Union, NJ · On-site +1

Key Responsibilities Design and refine prompts to optimize LLM performance across diverse tasks ... Work closely with data scientists and ML engineers to integrate prompt engineering workflows.

Cognizant Technology Solutions

Prompt Engineer

Norfolk, VA · On-site

$95K - $130K/yr

Prompt Engineer About the Role As a Prompt Engineer (LLM / Generative AI) , you will make an impact by designing and delivering intelligent AI-powered solutions using large language models. You will ...

Herbalife

Prompt Engineer, AI

Los Angeles, CA · On-site

AI/ML certifications, LLM-specific certifications, emerging prompt engineering certifications valuable • Equivalent Experience: 5+ years of hands-on experience working with LLMs and generative AI ...

Herbalife

Prompt Engineer, AI

Los Angeles, CA · Remote

AI/ML certifications, LLM-specific certifications, emerging prompt engineering certifications valuable • Equivalent Experience: 5+ years of hands-on experience working with LLMs and generative AI ...

Herbalife

Prompt Engineer, AI

Los Angeles, CA · Remote

AI/ML certifications, LLM-specific certifications, emerging prompt engineering certifications valuable Equivalent Experience: 5+ years of hands-on experience working with LLMs and generative AI with ...

Cantina

Prompt Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

As a Prompt Engineer at Cantina Labs, you will operate at the frontier of social generative AI ... Deep understanding of LLM capabilities, limitations, and quirks, with strong intuition for how ...

H&W Electrical Corporation

Be Seen First

Prompt Engineer

Greenville, SC · On-site

$70K - $115K/yr

... LLM infrastructure where it makes sense for cost, latency, or data sensitivity; decide when to fine-tune vs. prompt engineer vs. retrieve • Design and maintain the data layer behind your tools ...

Fuku

Senior Prompt Engineering Engineer

San Francisco, CA · On-site +1

$123.10K - $169.10K/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 ...

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Llm Prompt Engineer information

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How much do llm prompt engineer jobs pay per hour?

As of May 30, 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 are the key skills and qualifications needed to thrive as an LLM Prompt Engineer, and why are they important?

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 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 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.

More about Llm Prompt Engineer jobs
What cities are hiring for Llm Prompt Engineer jobs? Cities with the most Llm Prompt Engineer job openings:
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Llm Prompt Engineer jobs near you
Infographic showing various Llm Prompt Engineer job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 96% Full Time, 1% Part Time, and 2% Contract. Highlights an 94% Physical, 5% Hybrid, and 1% Remote job distribution, with an average salary of $121,086 per year, or $58.2 per hour.
AIML Prompt Engineer / Prompt Engineering / LLMS Optimization

AIML Prompt Engineer / Prompt Engineering / LLMS Optimization

Indotronix International Corporation

Saint Petersburg, FL

Other

Posted 17 days ago

Job description

AIML Prompt Engineer / Prompt Engineering / LLMS Optimization Location: onsite Hybrid role 2-3 days onsite per week. Note: Must be elgible to work on W2 and for any employer. Can't do C2C Corp to Corp or 1099.

Unable to sponsor Visa at this time. - Design, build, and refine prompts, Agents, and custom GPT-powered solutions for real-world business scenarios - Own prompt strategy from concept through deployment, creating reusable libraries for scalable impact - Integrate AI with enterprise systems and data. - Proven experience with LLMs (ChatGPT, Claude, Microsoft Copilot) - Advanced Prompt Engineering and optimization proficiency - Skilled in Power BI for data visualization and reporting - Strong analytical mindset - 4 plus years in AI/ML, NLP, or automation, with at least 2 years hands-on with LLMs or AI copilots AI, LLM , Prompt

Indotronix Avani Group logo

About Indotronix Avani Group

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

Year founded

1986

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