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Senior Prompt Engineering Jobs (NOW HIRING)

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 ... prompt engineering and RLHF. Responsibilities : • Lead the fine-tuning process for large pre ...

Senior Machine Learning Engineer

$107K - $146K/yr

They are seeking a Senior Machine Learning Engineer to develop intelligent workflows using Vision ... including prompt engineering, fine-tuning, and evaluation • Determine which signals, frames ...

Sr. Software Engineer - AI

Irving, TX · On-site

$117K - $155K/yr

Title: Sr. Software Engineer - AI Location: Irving, TX Job Location: Key Responsibilities * Design ... Apply prompt engineering and context engineering to optimize agent behavior and model outputs.

Senior AI Engineer

Dublin, CA · On-site

$117K - $161K/yr

Cornerstone OnDemand is seeking a Senior AI Engineer to build AI-native products within their ... prompt engineering, retrieval-augmented generation (RAG), evaluation, and iteration. • Develop ...

Senior Salesforce Developer

Frisco, TX · On-site

$117K - $143K/yr

Senior Salesforce Developer Location: Iselin, NJ | Charlotte, NC | Frisco, TX Work Arrangement ... Apply prompt engineering strategies and retrieval-augmented generation (RAG) techniques to enhance ...

Sr. Java Developer

Manhattan, NY · On-site

$63 - $80.50/hr

Senior Java/Database Developer Agentic AI Experience: 8+ Years _____ Job Summary Looking for a ... Work on RAG workflows, prompt engineering, and AI integrations * Collaborate in Agile/Scrum ...

AI Engineer

Charlotte, NC · On-site

$102K - $140K/yr

Senior AI Agent Engineer Charlotte, NC | Hybrid | Contract H1B Sponsorship Available We are hiring ... prompt engineering or AI/ML; 5 to 9 years in software development • Strong hands on experience ...

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Senior Frontend AI Engineer

Cleveland, OH · On-site

$118K - $163K/yr

Senior Frontend Developer (AI Tech Enablement) Role Summary: We are seeking a visionary Senior UI ... Prompt & Context Engineering: Design, test, and optimize complex prompts for Large Language Models ...

Senior AgenticAI Developer

Dallas, TX · On-site

$54.25 - $71.50/hr

Job title: Sr LangGraph + AgenticAI Developer Location:- Dallas (Primary), Charlotte (Secondary ... GenAI Fundamentals, Prompt Engineering, LLM, Agentic AI, Agentic System Design, LangChain ...

New

Senior Frontend AI Engineer

Cleveland, OH

$118K - $163K/yr

Senior Frontend Developer (AI Tech Enablement) Role Summary: We are seeking a visionary Senior UI ... Prompt & Context Engineering: Design, test, and optimize complex prompts for Large Language Models ...

Senior Frontend AI Engineer

Cleveland, OH

$118K - $163K/yr

Senior Frontend Developer (AI Tech Enablement) Role Summary: We are seeking a visionary Senior UI ... Prompt & Context Engineering: Design, test, and optimize complex prompts for Large Language Models ...

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

... prompt engineering, RAG (Retrieval-Augmented Generation). - Collaborate closely with ML Engineers, MLOps, software engineering, product, compliance, legal etc., to move models from prototype to ...

Senior ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Our core engineering team is looking for a Senior ML Engineer who thrives in early-stage, ambiguous ... Define and implement the team's approach to evals, LLM routing, prompt engineering, and model ...

AI/ML Engineer

Burbank, CA · On-site

$111K - $153K/yr

Mid-Senior (10+ Years) Industry: Information Technology & Services Position Overview Carter Support ... Develop and optimize prompt engineering strategies for LLM-based systems * Build and deploy RAG ...

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Senior Prompt Engineering information

See salary details

$59.5K

$126.6K

$183.5K

How much do senior prompt engineering jobs pay per year?

As of Jun 28, 2026, the average yearly pay for senior prompt engineering in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

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

To excel as a Senior Prompt Engineer, you need strong expertise in natural language processing (NLP), machine learning principles, and experience with large language models, typically supported by a degree in computer science or a related field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and prompt design tools is essential, as are any relevant certifications in AI or data science. Exceptional analytical thinking, creativity, and communication skills help in crafting effective prompts and collaborating with cross-functional teams. These competencies ensure the development of high-quality AI solutions that meet user requirements and drive innovation.

What are some common challenges faced by Senior Prompt Engineers when collaborating with cross-functional teams?

Senior Prompt Engineers often work closely with data scientists, product managers, and software engineers to develop effective AI prompts. A common challenge is ensuring clear communication about technical constraints and user requirements, as team members may have varying levels of familiarity with prompt engineering concepts. Balancing creativity with practical limitations—such as model capabilities and ethical guidelines—requires active collaboration and adaptability. Additionally, aligning prompt design with evolving project goals can be complex, so strong project management and interpersonal skills are essential for success in this role.

What is the difference between Senior Prompt Engineering vs Prompt Engineer?

AspectSenior Prompt EngineeringPrompt Engineer
CredentialsTypically requires experience in AI, NLP, and related certificationsEntry to mid-level skills in AI and prompt design
Work EnvironmentAdvanced projects, leadership roles, strategic planningHands-on prompt creation, testing, and optimization
Industry UsageUsed in organizations developing AI models and NLP applicationsCommon in AI startups, research labs, and tech companies

Senior Prompt Engineering involves leading complex AI projects, designing advanced prompts, and mentoring teams, while Prompt Engineers focus on creating and refining prompts for specific applications. The senior role requires more experience and strategic oversight, whereas the prompt engineer role is more hands-on and task-focused.

What is a Senior Prompt Engineer?

A Senior Prompt Engineer is a specialist who designs, develops, and optimizes prompts to interact effectively with artificial intelligence language models, such as ChatGPT or other generative AI systems. They leverage deep understanding of AI behavior and natural language processing to create instructions that yield accurate, relevant, and safe outputs. Senior Prompt Engineers may also lead teams, establish best practices, and collaborate with product, engineering, and research teams to improve AI performance and user experience.
More about Senior Prompt Engineering jobs
What cities are hiring for Senior Prompt Engineering jobs? Cities with the most Senior Prompt Engineering job openings:
What are the most commonly searched types of Prompt Engineering jobs? The most popular types of Prompt Engineering jobs are:
What states have the most Senior Prompt Engineering jobs? States with the most job openings for Senior Prompt Engineering jobs include:
Infographic showing various Senior Prompt Engineering job openings in the United States as of June 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Senior AI Model Fine-Tuning Engineer

TSMC

Austin, TX • On-site

$103K - $142K/yr

Full-time

Posted 9 days ago


Key responsibilities

  • Lead the fine-tuning process for large pre-trained models to ensure appropriate behavior in different contexts.

  • Design and implement prompt engineering strategies to improve the accuracy, relevance, and coherence of model outputs.

  • Apply Reinforcement Learning from Human Feedback and other fine-tuning methods to improve model alignment with user needs and ethical standards.


TSMC rating

8.4

Company rating: 8.4 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

36th of 139 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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