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Llm Prompt Engineer Jobs (NOW HIRING)

SWITS DIGITAL Private Limited

Prompt Engineer

Remote Required Skills * 3+ years of hands-on prompt engineering experience, ideally with production LLM systems * Deep practical knowledge of prompting techniques: chain-of-thought, few-shot, tool ...

NTT DATA Services

Prompt Engineer

Jersey City, NJ

Prompt Engineer LLM Interaction Design / Prompt Optimization / GenAI Application Quality Role purpose Design, test, govern, and continuously improve prompts, system instructions, conversation flows ...

Internet Brands

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 ...

NTT DATA Services

Prompt Engineer

Jersey City, NJ · On-site

Prompt Engineer LLM Interaction Design / Prompt Optimization / GenAI Application Quality Role purpose Design, test, govern, and continuously improve prompts, system instructions, conversation flows ...

NTT DATA Services

Prompt Engineer

Jersey City, NJ · On-site

Prompt Engineer LLM Interaction Design / Prompt Optimization / GenAI Application Quality Role purpose Design, test, govern, and continuously improve prompts, system instructions, conversation flows ...

Steampunk

Prompt Engineer

Mclean, VA

$115K - $140K/yr

This role is central to shaping how users experience AI-powered applications and ensuring that LLM outputs are relevant, reliable, safe, and aligned to mission needs. The Prompt Engineer will work ...

New

Steampunk

Prompt Engineer

Mclean, VA · On-site

$115K - $140K/yr

This role is central to shaping how users experience AI-powered applications and ensuring that LLM outputs are relevant, reliable, safe, and aligned to mission needs. The Prompt Engineer will work ...

New

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 ...

Steampunk

Prompt Engineer

Mclean, VA · On-site

$115K - $140K/yr

This role is central to shaping how users experience AI-powered applications and ensuring that LLM outputs are relevant, reliable, safe, and aligned to mission needs. The Prompt Engineer will work ...

New

Sensi.AI

Prompt Engineer

Austin, TX · On-site +1

About the Role We are looking for a Prompt Engineer to design, optimize, and continuously improve ... Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and conversational frameworks (e.g., LangChain)

Sensi.ai

Prompt Engineer

Austin, TX · On-site

About the Role We are looking for a Prompt Engineer to design, optimize, and continuously improve ... Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and conversational frameworks (e.g., LangChain)

Fuku

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 ...

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Llm Prompt Engineer information

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How much do llm prompt engineer jobs pay per hour?

As of Jul 10, 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 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 accessibility, customization options, and the specific application requirements. Familiarity with prompt design and understanding model limitations are essential skills 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 (Large Language Model) engineers typically earn between $100,000 and $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and NLP can command higher salaries, often exceeding $200,000. Compensation may also include bonuses and stock options in tech companies.

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, making it a valuable position in AI development teams.

What engineer makes $500,000 a year?

Senior AI engineers, including those working as prompt engineers or machine learning engineers, can earn $500,000 or more annually, especially with extensive experience, specialized skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at leading tech companies or startups focused on artificial intelligence and large language models.

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:
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Llm Prompt Engineer jobs near you
Infographic showing various Llm Prompt Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $121,086 per year, or $58.2 per hour.

Prompt Engineer

SWITS DIGITAL Private Limited

Remote

Full-time

Posted 14 days ago

Job description

Role:Prompt Engineer
Location: Remote
JOB DESCRIPTION
Required Skills
  • 3+ years of hands-on prompt engineering experience, ideally with production LLM systems
  • Deep practical knowledge of prompting techniques: chain-of-thought, few-shot, tool use / function calling, system prompt design, and structured output
  • Experience writing prompts for agentic workflows - not just single-turn completions - including multi-step pipelines with tool calls and conditional routing
  • Familiarity with offline eval approaches: building golden datasets, writing evaluation criteria, and measuring prompt quality systematically
  • Experience with LLM observability and eval tooling - Confident AI, LangFuse, LangSmith, or similar
  • Hands-on experience with both Claude (Anthropic) and Gemini model families
  • Python scripting ability sufficient to interact with APIs, process evaluation outputs, and automate prompt testing
  • Ability to work fast in a high-pressure environment with a hard GA deadline - you need to be able to triage and prioritise ruthlessly

Nice to Have
  • Experience with LLM-as-a-judge: both using it and building the judge prompts
  • Familiarity with graph-based data products or knowledge graph applications
  • Experience with red teaming or adversarial prompt testing
  • Understanding of prompt injection risks and mitigation approaches

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