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Llm Prompt Engineer Jobs in Spring, TX (NOW HIRING)

Addison Group

AI Developer

The Woodlands, 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 ...

Diablo Convoy

LLM Engineer

Houston, TX · On-site

$120K - $130K/yr

We are seeking a detail-oriented LLM Automation Engineer to support AI-driven data analysis ... This role focuses on using artificial intelligence tools, prompt engineering techniques, and ...

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 ...

BDO

AI/ML Engineer - Houston, Texas Only

Houston, TX · On-site

$104K - $125K/yr

Strong experience with Large Language Models (LLM), prompt engineering, retrieval-augmented generation (RAG), vector databases, and AI orchestration frameworks, required * Strong SQL skills including ...

NATIONMIND LLC

AI Engineer Developer

Houston, TX · Remote

$40 - $45/hr

Experience with LLM APIs and GenAI platforms such as OpenAI, Claude, ChatGPT Enterprise, Azure ... Experience with prompt engineering, prompt versioning, structured outputs, function calling, JSON ...

Fervo Energy

Agentic AI Engineer

Houston, TX

Working knowledge of LLM APIs and SDKs (Anthropic Claude, OpenAI, Azure OpenAI), including tool use/function calling, structured outputs, streaming, and prompt engineering * Experience implementing ...

Fervo Energy Company

Agentic AI Engineer

Houston, TX · On-site

Working knowledge of LLM APIs and SDKs (Anthropic Claude, OpenAI, Azure OpenAI), including tool use/function calling, structured outputs, streaming, and prompt engineering * Experience implementing ...

myDNA, Inc.

Senior AI Developer

Houston, TX · On-site

$52 - $68.75/hr

Solid grounding in prompt engineering, RAG, embeddings, vector search, guardrails, contextual grounding, and LLM evaluation methodology. * Ability to provide architectural direction and technical ...

Quest Global

Agentic AI Engineer

Conroe, TX · On-site

$100K - $120K/yr

... ML, LLM solutions, and hands-on development of agentic systems and autonomous workflows. • Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and stateful agent ...

Quest Global

Agentic AI Engineer

Conroe, TX · On-site

$100K - $120K/yr

... ML, LLM solutions, and hands-on development of agentic systems and autonomous workflows. • Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and stateful agent ...

Quest Global

Agentic AI Engineer

Conroe, TX · On-site

$100K - $120K/yr

Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and stateful agent orchestration frameworks (e.g., LangGraph or equivalent). Experience in deploying and operating LLM ...

Truity Credit Union

Data & AI Engineer

Houston, TX · On-site

$109K - $131K/yr

... Integrate LLM-based agents for structured and unstructured data extraction, Q&A, and document ... prompt engineering and AI orchestration frameworks (e.g., LangChain, semantic routers) to optimize ...

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Llm Prompt Engineer information

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$33

$51

$75

How much do llm prompt engineer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for llm prompt engineer in Spring, TX is $51.80, according to ZipRecruiter salary data. Most workers in this role earn between $40.43 and $63.32 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.

What job categories do people searching Llm Prompt Engineer jobs in Spring, TX look for? The top searched job categories for Llm Prompt Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Llm Prompt Engineer jobs? Cities near Spring, TX with the most Llm Prompt Engineer job openings:
Llm Prompt Engineer jobs near you

Senior Prompt & Content Engineering Lead

Bay Area TeK Solutions LLC

Houston, TX • Remote

Full-time

Re-posted 9 days ago

Job description

Design, refine, and optimize system prompts, agent roles, and persona-driven prompt libraries.

· Build enterprise prompt & knowledge playbooks for reuse across consulting/workflows.

· Work with SMEs and marketing to create structured knowledge content.

· Implement Content Operations Pipelines for structured taxonomies and prompt evaluation.

· Manage AI-assisted content creation for whitepapers, websites, and RFP proposals

8+ years of experience in content strategy, marketing operations, or knowledge management, with at least 2–3 years in LLM / prompt engineering or AI content systems.

· • Strong understanding of LLM frameworks (RA, or similar) and retrieval-augmented generation (RAG).

· • Expertise in designing structured prompt frameworks, few-shot prompting, and prompt performance tuning.

· • Proficiency with content pipeline tools (Markdown, CMS, Miro, Notion, Airtable, or similar).

· • Experience building and managing enterprise knowledge systems or AI knowledge assistants.