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Llm Prompt Engineering Jobs (NOW HIRING)

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 ...

Senior Prompt Engineering Engineer

San Francisco, CA · On-site

$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 ...

iOS Engineer

Irving, TX · On-site

$80K - $100K/yr

Knowledge 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.

Engineer

Greenwich, NY · On-site

$85K - $91K/yr

Knowledge 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.

Engineer

Irving, TX · On-site

$90K - $100K/yr

Knowledge 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.

Engineer

Jersey City, NJ · On-site

$90K - $100K/yr

Knowledge 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.

Engineer

Irving, TX · On-site

$95K - $105K/yr

Knowledge 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.

Engineer

Edison, NJ · On-site

$85K - $91K/yr

Knowledge 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.

GenAI Architect / AI Architect (LLM, Prompt Engineering, RAG, AWS/Azure) Location: Torrance, CA (Onsite) Duration: 6+ Months Consultants local to CA preferred Job Summary We are looking for a hands ...

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Llm Prompt Engineering information

See salary details

$71K

$120.2K

$178.5K

How much do llm prompt engineering jobs pay per year?

As of May 31, 2026, the average yearly pay for llm prompt engineering in the United States is $120,241.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $137,500.00 per year, 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 strong background in natural language processing, programming (often Python), and familiarity with AI/ML concepts, typically supported by a degree in computer science or a related field. Proficiency with large language model APIs (such as OpenAI or Hugging Face), prompt design tools, and version control systems like Git is essential. Creative problem-solving, attention to detail, and effective communication are standout soft skills for this role. These abilities are crucial for optimizing model outputs, ensuring reliable application performance, and collaborating with cross-functional teams to deliver impactful AI-driven solutions.

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 elicit accurate and reliable model outputs, mitigating unintended biases, and adapting prompts for different use cases or audiences. The iterative nature of prompt design requires constant testing, evaluation, and refinement to optimize model responses. Additionally, staying updated with evolving model capabilities and understanding how subtle changes in phrasing impact results are crucial parts of the role. Collaboration with data scientists and product teams is also essential to align prompts with business objectives and user needs.

What is LLM prompt engineering?

LLM prompt engineering is the process of designing, structuring, and refining prompts to effectively interact with large language models (LLMs) like GPT-4. It involves crafting questions or instructions in a way that helps the AI understand the user's intent and produce accurate, relevant, and high-quality responses. Prompt engineers experiment with wording, context, and formatting to optimize outputs, troubleshoot errors, and guide the model’s behavior for specific use cases. This skill has become increasingly valuable as businesses and developers rely on LLMs for tasks such as content generation, summarization, coding, and more.
What states have the most Llm Prompt Engineering jobs? States with the most job openings for Llm Prompt Engineering jobs include:
Infographic showing various Llm Prompt Engineering job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $120,241 per year, or $57.8 per hour.
AIML Prompt Engineer / Prompt Engineering / LLMS Optimization

AIML Prompt Engineer / Prompt Engineering / LLMS Optimization

Indotronix International Corporation

Saint Petersburg, FL

Other

Posted 18 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