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Prompt Engineering Jobs in Texas (NOW HIRING)

Tata Consultancy Service Limited

Engineer

Irving, TX · On-site

$90K - $100K/yr

... Prompt Engineering, RAG Architecture, Agentic AI. - Basic knowledge of Hybrid prompting technique - Knowledge in Generative AI tools like LangChain, Hugging Face, Llama Index etc. Good to have ...

Addison Group

AI Developer

The Woodlands, TX · On-site

$100K - $120K/yr

Agentic AI: Experience building and orchestrating single‑agent and multi‑agent systems, including prompt engineering, RAG pipelines, and agent decision logic. * Integration Development:

OMS MEDICAL BILLING LLC

AI/ML Engineer

Addison, TX · Hybrid

Own the full lifecycle: data preparation, model selection, fine-tuning/prompt engineering, evaluation, deployment, and monitoring * Build evaluation frameworks and safety guardrails for LLM-based ...

Tata Consultancy Services

Engineer

Irving, TX · On-site

Responsibilities : • AI workflow development • Prompt engineering • Deployment and maintenance of AI models across all environments including Production. • Code review, testing and ...

TSMC

Senior AI Model Fine-Tuning Engineer

Austin, TX · On-site

$103K - $142K/yr

... like prompt engineering and RLHF. Responsibilities : • Lead the fine-tuning process for large pre-trained models, focusing on making models behave appropriately in different contexts (e.g ...

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Prompt Engineering information

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$30.3K

$58.7K

$89K

How much do prompt engineering jobs pay per year?

As of Jul 15, 2026, the average yearly pay for prompt engineering in Texas is $58,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,800.00 and $67,100.00 per year, depending on experience, location, and employer.

What is a Prompt Engineering job?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

What are the key skills and qualifications needed to thrive in the Prompt Engineering position, and why are they important?

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What are the most common challenges faced by Prompt Engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

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Prompt Engineering jobs near you

Engineer

Tata Consultancy Service Limited

Irving, TX • On-site

$90K - $100K/yr

Full-time

Re-posted 11 days ago

Job description

Must Have Technical/Functional Skills
- Strong hands-on Python knowledge
- Hands-on experience in developing API Development in Python using FastAPI/ Flask framework
- Working experience in Data Processing, AI enabled workflows using python
- Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI.
- Basic knowledge of Hybrid prompting technique
- Knowledge in Generative AI tools like LangChain, Hugging Face, Llama Index etc.
Good to have:
- Working experience with Gemini LLM
- Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras
- Hands-On knowledge on NLP
- Understanding of model deployment and containerization (Docker).
- Understanding of version control systems (Git).
- Awareness of AI compliance, data privacy, and responsible AI principles
Roles & Responsibilities
- AI workflow development
- Prompt engineering
- Deployment and maintenance of AI models across all environments including Production.
- Code review, testing and documentation
- Continuous learning in Generative AI related fields
Salary Range: $90,000 to $100,000 per year

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