ZipRecruiter

Log In

1

Llm Prompt Engineer Jobs (NOW HIRING)

SolGenie

AI Architect

Torrance, CA · On-site

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 ...

Life Science Logistics LLC

AI Engineer

Coppell, TX

Other duties as assigned Qualifications and Job Specifications * 3+ years of software engineering or applied AI experience, with at least 1 year focused on LLM prompt engineering. * Deep hands-on ...

New

Marencor

QA Engineer (AI Applications)

New York, NY · On-site

QA Engineer (AI Applications) Location: New York, NY Role Summary: Ensure functional, secure, and ... Test LLM prompt stability, hallucination edge cases, and multi-turn conversation flows * Design ...

Saviance

Senior Software Engineer - AI / Java

Boston, MA · Hybrid

$135K - $178K/yr

Develop and optimize LLM prompt engineering strategies, embedding pipelines, and AI-enhanced workflows for healthcare and RCM use cases * Own backend performance considerations including model ...

Pearson Education

Staff Software Engineer - AI

Hoboken, NJ · On-site

$150K - $180K/yr

Develop and integrate at least one Large Language Model (LLM) into production workflows. * Design and implement Retrieval-Augmented Generation (RAG) pipelines. * Apply advanced prompt engineering ...

Life Science Logistics

AI Engineer

Coppell, TX · On-site

Other duties as assigned Qualifications and Job Specifications * 3+ years of software engineering or applied AI experience, with at least 1 year focused on LLM prompt engineering. * Deep hands-on ...

Siemens Healthineers

AI LLM Engineer

Atlanta, GA · On-site +1

AI / LLM Engineering & Agentic Systems * Design, build, and deploy LLM powered applications using ... Apply prompt engineering, fine tuning strategies, and model orchestration techniques to improve ...

Pearson

Staff Software Engineer - AI

Hoboken, NJ · Hybrid

$150K - $180K/yr

Develop and integrate at least one Large Language Model (LLM) into production workflows. * Design and implement Retrieval-Augmented Generation (RAG) pipelines. * Apply advanced prompt engineering ...

eTeam

AI/LLM Engineer

Manhattan, NY · On-site

... prompt engineers to enhance model responses and performance • Write high-quality, scalable code ... LLM-driven systems • Ensure robust handling of edge cases, failure scenarios, and unintended ...

Kodiak Gas Services

AI Developer

The Woodlands, TX · On-site

Strong understanding of LLM prompt engineering, embeddings, and foundational Retrieval-Augmented Generation (RAG) concepts. * Proficiency in building microservices and integrating them into complex ...

next page

Showing results 1-20

All JobsLlm Prompt Engineer Jobs

Llm Prompt Engineer information

See salary details

$37

$58

$85

How much do llm prompt engineer jobs pay per hour?

As of Jun 21, 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:
What job categories do people searching Llm Prompt Engineer jobs look for? The top searched job categories for Llm Prompt Engineer jobs are:
Llm Prompt Engineer jobs near you

AI Architect

SolGenie

Torrance, CA • On-site

Full-time

Posted 19 hours ago

Job description

We have got a contract opportunity for AI Architect @ Torrance, CA (Onsite) with one of our clients. The detail of the position is as given below.
Title: 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-on Architect GenAI Engineer / AI Architect to design and implement real-world Generative AI solutions across enterprise use cases. This role requires strong experience in LLMs, prompt engineering, RAG pipelines, and AI-driven automation, with a focus on POCs → production deployment.
This is a highly practical role - candidates must have experience building and delivering working AI solutions, not just theoretical knowledge.
Key Responsibilities:
  • Design and implement GenAI solutions using LLMs (OpenAI, Azure OpenAI, Claude, etc.)
  • Build and optimize prompt engineering workflows (system prompts, chaining, evaluation)
  • Develop RAG pipelines, agents, and context-aware AI applications
  • Create and execute POCs and scale them to production environments
  • Apply AI for automation, testing, validation, and SDLC optimization
  • Analyze business requirements and translate them into AI-driven workflows and test strategies
  • Set up and manage AI/ML infrastructure on AWS/Azure (Bedrock, SageMaker, Azure AI, etc.)
  • Implement evaluation frameworks to measure LLM performance (accuracy, hallucination, latency)

Required Skills:
  • 10+ years of experience with strong hands-on GenAI / LLM implementation
  • 2+ years as Architect (Design and implementation)
  • Expertise in Prompt Engineering, RAG, Agents, and LLM workflows
  • Strong programming skills in Python
  • Experience with frameworks/tools like LangChain, LlamaIndex, LangGraph, OpenAI APIs
  • Hands-on experience deploying AI solutions on AWS or Azure
  • Experience building end-to-end AI applications (POC → production)
  • Strong understanding of AI evaluation techniques and model performance tuning

Nice to Have:
  • Experience applying AI for QA automation, testing, or SDLC optimization
  • Familiarity with Selenium, Playwright, or test automation frameworks
  • Experience with vector databases (Pinecone, Weaviate, FAISS)
  • Exposure to CI/CD pipelines with AI integration

Apply