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Llm Prompt Engineer Jobs (NOW HIRING)

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 ...

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 ...

Prompt Engineer

El Segundo, CA · On-site

$60K - $105K/yr

Partner with product, engineering, and design to rapidly prototype and iterate on prompts for production LLM applications across diverse use cases. Turn around prompt revisions within tight cycles ...

Prompt Engineer

New York, NY · Hybrid

$140K - $150K/yr

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 ...

Partner with product, engineering, and design to rapidly prototype and iterate on prompts for production LLM applications across diverse use cases. Turn around prompt revisions within tight cycles ...

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 ...

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 ...

Senior Prompt Engineering Engineer

San Francisco, CA · On-site

$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 ...

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

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Llm Prompt Engineer information

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How much do llm prompt engineer jobs pay per hour?

As of Jun 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 engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Roles involving leadership, technical expertise, or working at major tech companies often have compensation packages reaching or exceeding this level.

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.

Which LLM is good for prompt engineering?

For a prompt engineer, large language models like OpenAI's GPT-4, Anthropic's Claude, and Google's PaLM are popular choices due to their advanced capabilities and flexibility. Selecting an LLM depends on factors such as API access, customization options, and the specific application requirements. Familiarity with prompt design and model tuning is essential for effective prompt engineering.

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.

How much do LLM engineers make?

LLM prompt engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in AI and machine learning can command higher salaries, often exceeding $180,000. Compensation may also include bonuses and stock options in tech-focused organizations.

Are prompt engineers still in demand?

Prompt engineers are currently in demand as organizations seek to optimize AI language models for various applications. The role requires skills in natural language processing, prompt design, and familiarity with large language models like GPT, making it a valuable position in AI development teams.

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 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:
What states have the most Llm Prompt Engineer jobs? States with the most job openings for Llm Prompt Engineer jobs include:
AIML Prompt Engineer / Prompt Engineering / LLMS Optimization

AIML Prompt Engineer / Prompt Engineering / LLMS Optimization

Indotronix International Corporation

Saint Petersburg, FL

Other

Posted 8 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


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About Indotronix

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