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Senior Generative Ai Prompt Engineer Jobs in Texas

Tanisha Systems

Sr. Generative AI Developer

Dallas, TX · On-site

$120K - $161K/yr

Sr. Generative AI Developer Location: Dallas TX/ Tampa FL/ New Jersey - Hybrid Fulltime/FTE Salary ... Preferred Qualifications Experience with LLM fine-tuning , prompt engineering , and model ...

Programmers.io

Senior Generative AI Developer

Irving, TX · On-site

$116K - $157K/yr

We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge ... Preferred Qualifications Experience with LLM fine-tuning, prompt engineering, and model evaluation.

Scalence L.L.C.

Senior Generative AI Engineer

Austin, TX · On-site

$54.75 - $70.50/hr

... prompt engineering, evaluation frameworks, and responsible AI deployment practices. • Experience in CI/CD with building tools such as Maven and Jenkins. • Experience with Kubernetes for container ...

Droisys

Generative AI Engineer

Dallas, TX · On-site

Build Generative AI solutions using technologies like LLMs, RAG, Prompt Engineering, and LangChain/LangGraph. * Develop AI Agents and Semantic Kernels for AI-driven enterprise automation solutions.

MDAEdge

Generative AI Engineer

Austin, TX · On-site

... prompt engineering techniques. • Implement few-shot prompting strategies for improved LLM ... Required : • Designed and developed scalable generative AI platforms for enterprise use cases ...

AMSYS Talent

Sr Gen AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Senior Generative AI Engineer (Azure / RAG / LLM) We're looking for a hands-on Senior AI Engineer to build and deploy production-grade generative AI solutions. This role focuses on taking use cases ...

Lares IT Solutions Inc

Generative AI Engineer

Plano, TX · On-site

Generative AI Developer Plano, TX We are seeking a seasoned Generative AI Developer with expertise ... prompt engineering, AI-assisted coding tools (GitHub Copilot) * Languages: Python (scripting & AI ...

Stackruit Ltd.

Generative AI Engineer

Dallas, TX · On-site

$100 - $130/hr

Solid grasp of machine learning algorithms and generative AI ... Experience with prompt engineering and RAG techniques is a plus. * Data wrangling skills and data ...

Prosum Inc.

Generative AI Engineer

Fort Worth, TX · On-site

$120K - $165K/yr

Generative AI Engineer Location: Remote (U.S.) Salary Range: $120k to $165k About the Role We are ... Establish and enforce engineering standards across prompt design, orchestration, structured outputs ...

Sensi.ai

Prompt Engineer

Austin, TX · On-site

AI Sensi.AI is transforming the world of home care through agentic AI - and we're just getting ... About the Role We are looking for a Prompt Engineer to design, optimize, and continuously improve ...

Sensi.AI

Prompt Engineer

Austin, TX · On-site +1

AI Sensi.AI is transforming the world of home care through agentic AI - and we're just getting ... About the Role We are looking for a Prompt Engineer to design, optimize, and continuously improve ...

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Senior Generative Ai Prompt Engineer information

What is a senior generative AI prompt engineer?

A Senior Generative AI Prompt Engineer is an experienced professional who specializes in designing, optimizing, and managing prompts for AI models, such as large language models (LLMs) like GPT-4. Their role involves understanding how AI responds to different instructions, creating effective prompts to achieve desired outputs, and collaborating with teams to integrate AI-generated content into products or workflows. They often work closely with data scientists, software engineers, and product managers to ensure the AI delivers accurate and valuable results. Additionally, they may be responsible for training others on prompt engineering best practices and staying updated on the latest advancements in generative AI.

What are the key skills and qualifications needed to thrive as a senior generative AI prompt engineer?

To thrive as a Senior Generative AI Prompt Engineer, you need expertise in natural language processing, machine learning, and prompt engineering, typically supported by an advanced degree in computer science or a related field. Proficiency with AI frameworks like TensorFlow or PyTorch, experience with large language models (e.g., GPT, Llama), and familiarity with cloud platforms are essential. Strong problem-solving abilities, creativity, and effective communication skills help in designing, iterating, and collaborating on high-quality AI-driven solutions. These skills ensure the development of robust, innovative models and effective deployment of generative AI solutions to meet business objectives.

What are some common challenges faced by senior generative AI prompt engineers, and how can they be addressed?

Senior Generative AI Prompt Engineers often encounter challenges such as designing prompts that consistently yield high-quality outputs and managing model biases. Collaborating closely with data scientists, product managers, and other engineers is essential to iterate on prompt strategies and evaluate results. Staying updated with rapid advancements in generative AI models and understanding the nuances of prompt tuning are also key aspects of the role. Regularly reviewing model outputs and leveraging feedback from cross-functional teams can help address these challenges and drive continuous improvement.

What is the difference between Senior Generative Ai Prompt Engineer vs Machine Learning Engineer?

AspectSenior Generative Ai Prompt EngineerMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with NLP and prompt designBachelor's or higher in CS, Data Science, or related fields; expertise in algorithms and model development
Work EnvironmentFocus on prompt crafting, AI interaction, and fine-tuning generative modelsDeveloping, training, and deploying machine learning models across various applications
Industry UsagePrimarily in AI product teams, content generation, and conversational AIAcross tech, finance, healthcare, and more for predictive analytics and automation

While both roles involve AI and machine learning, the Senior Generative Ai Prompt Engineer specializes in designing prompts for generative models, whereas the Machine Learning Engineer develops and optimizes machine learning algorithms for broader applications.

What are the most commonly searched types of Generative Ai Prompt Engineer jobs in Texas?

The most popular types of Generative Ai Prompt Engineer jobs in Texas are:

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Cities in Texas with the most Senior Generative Ai Prompt Engineer job openings:

Senior Generative Ai Prompt Engineer jobs near you

Sr. Generative AI Developer

Tanisha Systems

Dallas, TX • On-site

$120K - $161K/yr

Other

Re-posted 6 hours ago

Job description

Sr. Generative AI Developer Location: Dallas TX/ Tampa FL/ New Jersey - Hybrid Fulltime/FTE Salary: Market Client: Bank Role Overview We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have strong expertise in Python programming , FastAPI , and cloud platforms (AWS, Azure, or GCP). This role requires a deep understanding of system architecture design , scalable APIs, and end-to-end AI solution development. Key Responsibilities Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions. Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance. Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines. Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows. Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases. Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP). Conduct performance tuning and optimization of AI models and APIs. Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies . Required Skills & Qualifications 8+ years of professional experience in software development and system design. Strong proficiency in Python and experience with FastAPI for API development. Hands-on experience with Generative AI frameworks and RAG architectures . Solid understanding of system and architecture design principles for distributed applications. Experience deploying solutions on any major cloud platform (AWS, Azure, GCP). Familiarity with vector databases , embedding models , and retrieval pipelines . Strong problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with LLM fine-tuning , prompt engineering , and model evaluation . Knowledge of containerization (Docker) and orchestration (Kubernetes) . Exposure to CI/CD pipelines and DevOps practices .

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