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

Sr AI Engineer

Houston, TX · On-site

$96K - $132K/yr

Role: Sr AI Engineer Location: Houston TX Project description We are seeking a highly skilled ... Evaluate and implement GenAI, LLMs, and prompt engineering techniques * Prototype and experiment ...

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Project description We are seeking a highly skilled Senior AI Engineer to design, build, and deploy ... Evaluate and implement GenAI, LLMs, and prompt engineering techniques * Prototype and experiment ...

Senior AI Engineer #26-13102

Houston, TX

$99K - $137K/yr

We are seeking a highly skilled Senior AI Engineer to design, build, and deploy scalable artificial ... TensorFlow, PyTorch, Scikit-learn AI/GenAI: prompt engineering (preferred), Claude CLI / Code ...

Senior AI Agentic Engineer

Spring, TX · On-site

$93K - $127K/yr

Senior AI Agentic Engineer Location: Spring, TX 77389 (hybrid: 3 days onsite / 2 days remote ... Model Adaptation & Prompt Engineering * Evaluate and select frontier and open-source LLMs (e.g ...

Senior AI Developer

Houston, TX · On-site

$52 - $68.75/hr

Defines and enforces LLMOps / MLOps practices: prompt and model versioning, evaluation harnesses ... The Senior AI Developer is expected to understand how regulatory obligations apply to AI/ML systems ...

Senior Software Engineer

Houston, TX · On-site

$116K - $154K/yr

They are seeking a highly motivated Senior Software Developer to design and build scalable, secure ... Machine Learning / Generative AI, Prompt Engineering, Agentic AI systems. • Writing and ...

Be Seen First

As a Sr. AI Engineer, you'll design and implement advanced AI-powered features and agent workflows ... Design and optimize prompt chains, retrieval-augmented generation (RAG), and hybrid AI ...

New

Senior AI Engineering

Houston, TX

$99K - $137K/yr

This senior technical leader will translate emerging AI capabilities into secure, scalable ... Practical experience with prompt engineering, RAG, embeddings, vector databases, LLM orchestration ...

Senior AI Engineer

Conroe, TX · Hybrid

$93K - $128K/yr

Senior AI Engineer - Agentic Solutions Candidates must be able to convert to full time without ... prompt engineering, RAG pipelines, and agent orchestration, with experience using LangGraph (or ...

Senior AI Developer

Houston, TX · On-site

$52 - $68.75/hr

... prompt and model versioning, evaluation harnesses, regression testing, latency and cost SLOs, and ... engineering teams; senior IC influence rather than line management. • Strong testing discipline ...

As a Sr. AI & Data Engineer in Trading Analytics, you will work directly with frontoffice teams to ... Prompt engineering * Agent orchestration using frameworks such as LangGraph * Tool calling and ...

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Showing results 1-20

Senior Prompt Engineer information

See Spring, TX salary details

$52.9K

$112.6K

$163.3K

How much do senior prompt engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for senior prompt engineer in Spring, TX is $112,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $127,700.00 per year, depending on experience, location, and employer.

How does a Senior Prompt Engineer typically collaborate with cross-functional teams to optimize AI system outputs?

Senior Prompt Engineers frequently work alongside data scientists, machine learning engineers, product managers, and UX designers to fine-tune AI models and ensure prompt effectiveness. Collaboration often involves iterative testing, gathering feedback, and adjusting prompts based on real-world user interactions and business goals. This teamwork helps ensure outputs are accurate, contextually appropriate, and aligned with user expectations. Regular communication and shared documentation are essential to maintain alignment and drive continuous improvement.

What are the key skills and qualifications needed to thrive as a Senior Prompt Engineer, and why are they important?

To thrive as a Senior Prompt Engineer, you need expertise in natural language processing, prompt engineering techniques, and a solid background in computer science or a related field. Familiarity with large language model APIs, AI development platforms, and tools like Python, Jupyter, and version control systems is typically required. Exceptional analytical thinking, creativity, and strong communication skills help you craft effective prompts and work collaboratively with multidisciplinary teams. These skills are essential to optimize model outputs, solve complex user challenges, and drive impactful AI solutions.

What are Senior Prompt Engineers?

Senior Prompt Engineers are professionals who specialize in designing, refining, and optimizing prompts for AI language models, such as ChatGPT or other generative AI systems. They combine expertise in natural language processing, programming, and domain knowledge to ensure AI outputs are accurate, relevant, and aligned with user goals. Senior Prompt Engineers typically lead teams, develop prompt engineering best practices, and collaborate with product managers, data scientists, and developers to improve AI-driven products. Their work is crucial for organizations leveraging AI to enhance user experiences, automate workflows, or generate content.
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Senior Prompt & Content Engineering Lead

Bay Area TeK Solutions LLC

Houston, TX • Remote

Full-time

Posted 17 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.