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Llm Prompt Engineer Jobs (NOW HIRING)

Addison Group

AI Developer

The Woodlands, TX

$100K - $120K/yr

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

Addison Group

AI Developer

Houston, TX · On-site

$100K - $120K/yr

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

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Pearson Education

Staff Software Engineer - AI

Hoboken, NJ · On-site

$150K - $165K/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 ...

Pearson

Staff Software Engineer - AI

Hoboken, NJ · Hybrid

$150K - $165K/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 ...

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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:
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
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.

Prompt Engineer - Fort Worth TX (In - Person Interview)

Saksoft

Fort Worth, TX

Other

Posted 2 days ago

Job description

Job Title: Prompt Engineer

Location: Fort Worth, TX (In-person interview)

Duration: Long-term

 

Job Description:

Years of Experience Required: 10 years

Top 3 Mandatory Skills and Experience:

·       Programming & Architecture

·       Java, Python

·       GenAI & LLM Engineering

·       Hands-on development of GenAI / LLM-powered applications

·       Prompt engineering, structured outputs, tool/function calling Agentic frameworks (LangChain, LangGraph, LangSmith)

·       Retrieval Augmented Generation (RAG) and vector search

·       Vector databases & embeddings (Azure)

·       LLM evaluation, latency optimization, cost management, hallucination mitigation

·       AI governance, PII handling, security, and enterprise compliance

Describe a great candidate that you are looking for and what skills and experience they will have:

·       Ideal Candidate Profile – Senior GenAI & Contact Center Platform Engineer

·       We are seeking a highly skilled, forward-thinking engineer who brings deep expertise across GenAI, cloud-native architecture, and contact center platforms, combined with the ability to thrive in a globally distributed, high-performing team spanning Hyderabad and DFW.

·       Technical Excellence

·       This candidate demonstrates strong proficiency in Java, Python, and TypeScript, with a solid foundation in object-oriented design, SOLID principles, and clean architecture. They have a proven track record designing and building scalable, distributed, event-driven systems that operate reliably in cloud-native environments.

·       They are hands-on with backend development (Spring Boot, FastAPI) and experienced in building robust APIs (REST/GraphQL) and event-driven integrations using Kafka. Their data layer experience spans relational and NoSQL systems, including PostgreSQL, MongoDB, Redis, and CosmosDB.

·       GenAI & LLM Engineering Leadership

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