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

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

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 ...

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

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

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 ...

LLM Engineer

Houston, TX

$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 ...

Develop and implement LLM-based solutions (prompt engineering, RAG, LangGraph, agent workflows, tool integrations). * Ensure production readiness with CI/CD pipelines, automated testing ...

Prompt engineering and fine-tuning * LLM APIs (e.g., OpenAI, Claude, Gemini) * Experience deploying cloud-native solutions using GCP and/or Azure. * Solid understanding of API design, microservices ...

Prompt engineering and fine-tuning * LLM APIs (e.g., OpenAI, Claude, Gemini) * Experience deploying cloud-native solutions using GCP and/or Azure. * Solid understanding of API design, microservices ...

IT Data Engineering JG3

Houston, TX · Hybrid

$109.30K - $131.20K/yr

... Implement LLM/agentic workflows: prompt engineering, LangGraph orchestration, MCP integrations, tool calling, retrieval, and guardrails. · Productionize solutions with testing, observability ...

AI Engineer Senior Consultant

Houston, TX · Hybrid

$99.80K - $137K/yr

AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ... prompt/context patterns. * Implement LLM application patterns including RAG, document ingestion ...

AI Data Engineer - Senior Consultant

Houston, TX · Hybrid

$99.80K - $137K/yr

AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ... prompt/context patterns. * Implement LLM application patterns including RAG, document ingestion ...

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Llm Prompt Engineer information

See Spring, TX salary details

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How much do llm prompt engineer jobs pay per hour?

As of May 29, 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 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.

What are popular job titles related to Llm Prompt Engineer jobs in Spring, TX? For Llm Prompt Engineer jobs in Spring, TX, the most frequently searched job titles are:
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:

Senior Prompt & Content Engineering Lead

Bay Area TeK Solutions LLC

Houston, TX • Remote

Full-time

Posted 24 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.