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

TSMC

Senior AI Model Fine-Tuning Engineer

Austin, TX · On-site

$103K - $142K/yr

As a Senior AI Model Fine-Tuning Engineer, you will adjust the behavior and functional abilities of AI models to enhance their adaptability and intelligence, utilizing advanced techniques like prompt ...

Future Secure AI

Sr. AI/ML Engineer, Platform

Austin, TX · On-site

$103K - $142K/yr

... Sr. AI/ML Software Engineer to join their core Platform Team. This role involves developing and ... for prompt engineering, tool use, streaming, and token management. • Distributed Systems ...

3coresystems

Senior AI & Automation Engineer

Austin, TX · Hybrid

$103K - $135K/yr

Senior AI & Automation Engineer (Must have strong software engineering experience and be able to ... The engineer applies practical prompt\-engineering techniques, to include clear instructions ...

New

Jobtailor

Senior AI Engineer

Austin, TX · On-site

$180 - $240/hr

Engineer model context through retrieval strategy, chunking, ranking, caching, compaction, and prompt assembly * Improve quality through systematic iteration on prompts, tool design, model selection ...

Level

Senior Applied AI Engineer

Austin, TX · On-site

$103K - $142K/yr

The Senior Applied AI Engineer will design and build agentic systems, automate workflows, and ... ReAct, tool use with structured schemas, prompt chaining, routing, orchestrator-workers, evaluator ...

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Senior Prompt Engineer information

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How much do senior prompt engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for senior prompt engineer in Austin, TX is $125,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $142,200.00 per year, depending on experience, location, and employer.

What is a senior prompt engineer?

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.

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 the most commonly searched types of Prompt Engineer jobs in Austin, TX?

The most popular types of Prompt Engineer jobs in Austin, TX are:

What are popular job titles related to Senior Prompt Engineer jobs in Austin, TX?

For Senior Prompt Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Senior Prompt Engineer jobs in Austin, TX look for?

The top searched job categories for Senior Prompt Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Senior Prompt Engineer jobs?

Cities near Austin, TX with the most Senior Prompt Engineer job openings:

Senior Prompt Engineer jobs near you
Infographic showing various Senior Prompt Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $125,444 per year, or $60.3 per hour.

Senior AI Model Fine-Tuning Engineer

TSMC

Austin, TX • On-site

$103K - $142K/yr

Full-time

Re-posted 7 days ago

TSMC rating

8.0

Company rating: 8.0 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

59th of 159 rated electronics manufacturers

Job description

Job Summary:
TSMC Arizona offers an opportunity to work at the most advanced semiconductor fab in the United States. As a Senior AI Model Fine-Tuning Engineer, you will adjust the behavior and functional abilities of AI models to enhance their adaptability and intelligence, utilizing advanced techniques 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., following instructions, answering questions, or performing tasks).
• Design and implement prompt engineering strategies to help the model produce more accurate, relevant, and coherent outputs.
• Apply Reinforcement Learning from Human Feedback (RLHF) and other behavioral fine-tuning methods to improve the model's alignment with user needs and ethical standards.
• Collaborate with data teams to integrate relevant data and continuously improve model behavior.
• Conduct model evaluations using various performance metrics (accuracy, bias detection, user feedback) to identify areas for improvement.
• Iterate and experiment with different fine-tuning methods to achieve optimal performance for specific use cases.
• Monitor model drift and ensure that models remain consistent, reliable, and safe over time.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Data Science, or a related field.
• 5+ years of experience working on fine-tuning large-scale models such as GPT, T5, or BERT, with a strong focus on behavior and functionality.
• Expertise in advanced tuning methods such as RLHF, prompt engineering, and zero-shot learning.
• Experience with popular transformer architectures and frameworks like Hugging Face, TensorFlow, or PyTorch.
• Deep understanding of LLM behaviors, including instruction-following, task completion, and ethical considerations in output.
• Proficiency in Python and experience with libraries for model fine-tuning (e.g., Transformers, DeepSpeed).
• Experience in evaluating model performance, including using metrics like BLEU, ROUGE, perplexity, and custom evaluation frameworks.
• Candidates must be willing and able to work on-site at our Phoenix Arizona facility.
• Communication
• Computer proficiency
• Presentation skills
• Listening
• Teamwork
Preferred:
• Experience with ethical AI and safety considerations, such as minimizing bias and handling adversarial inputs.
• Experience with model deployment and real-time experimentation (A/B testing).
Company:
Established in 1987, TSMC is the world's first dedicated semiconductor foundry. Founded in 1987, the company is headquartered in Hsinchu, TWN, with a team of 10001+ employees. The company is currently Late Stage.

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