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Prompt Engineer Jobs in Delaware (NOW HIRING)

Iff

AI Engineer, Industrial

Wilmington, DE · On-site +1

$67K - $91K/yr

Practical understanding of frontier model capabilities and limitations, including prompt design ... Familiarity with software engineering practices such as version control, testing, application ...

New

ApTask

AI-ML Tech Lead

Wilmington, DE · On-site

$42K - $55K/yr

LLMs, Agentic architectures, Prompt engineering, RAG pipelines. • Experience designing complex distributed systems and workflow automation platforms. • Deep understanding of DSL design ...

ApTask

AI-ML Tech Lead

Wilmington, DE

$80 - $85/hr

Prompt engineering * RAG pipelines * Experience designing complex distributed systems and workflow automation platforms. * Deep understanding of DSL design, interpreters, ASTs, and compiler concepts.

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How much do prompt engineer jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for prompt engineer in Delaware is $47.13, according to ZipRecruiter salary data. Most workers in this role earn between $35.87 and $60.87 per hour, depending on experience, location, and employer.

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

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

What does a typical day look like for a Prompt Engineer?

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.

What engineers make $500,000?

Senior software engineers, especially those in specialized fields like AI, machine learning, or cybersecurity, can earn $500,000 or more annually with bonuses and stock options. High compensation often requires extensive experience, advanced skills, and working in competitive tech companies or leadership roles.

What is a Prompt Engineer job?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

Is prompt engineer still a thing?

Prompt engineering is an emerging role focused on designing effective prompts for AI language models. It is increasingly in demand as organizations seek to optimize AI interactions, often requiring skills in natural language processing and familiarity with AI tools. The role is expected to grow as AI adoption expands across industries.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant outputs. The role requires understanding of AI systems, natural language processing, and often involves testing and refining prompts to improve model performance. Skills in programming, data analysis, and familiarity with AI tools are commonly needed.

Is prompt engineer salary?

Prompt engineers typically earn salaries comparable to other AI and machine learning specialists, with average annual pay ranging from $80,000 to $150,000 depending on experience, location, and industry. Skills in natural language processing, AI tools, and programming languages like Python can influence compensation. Entry-level positions may start lower, while experienced prompt engineers working in tech hubs tend to earn higher salaries.
What are the most commonly searched types of Prompt Engineer jobs in Delaware? The most popular types of Prompt Engineer jobs in Delaware are:
What are popular job titles related to Prompt Engineer jobs in Delaware? For Prompt Engineer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Prompt Engineer jobs in Delaware look for? The top searched job categories for Prompt Engineer jobs in Delaware are:
What cities in Delaware are hiring for Prompt Engineer jobs? Cities in Delaware with the most Prompt Engineer job openings:
Prompt Engineer jobs near you
Data Science Senior Associate - Card Data & Analytics team

Data Science Senior Associate - Card Data & Analytics team

JPMorgan Chase & Co.

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 4 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 470 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

Job Description
As a Data Science Senior Associate in the Card Data & Analytics team, you will develop AI/ML solutions that drive the bottom line for our Credit Card business. You will utilize your skills in data analytics, consulting, and programming to support strategic initiatives and deliver actionable insights. Collaborate with partners across the Card business to define problems, scope solutions, and deliver high-quality analytical models. Your work will involve a mix of consulting, data science, and programming, with a focus on driving data science and analytics strategies.
Job Responsibilities:
  • Leverage experience and analytical skills to uncover novel use cases of Big Data analytics, including opportunities to responsibly apply foundation models and Generative AI.
  • Drive data science and analytics strategies, including recommendations on analytical products and standards.
  • Help partners define business problems and scope analytical solutions.
  • Build an understanding of problem domains and available data assets.
  • Research, design, implement, and evaluate analytical approaches and models, including GenAI-based methods.
  • Perform exploratory statistics and data mining tasks on diverse datasets.
  • Communicate findings and obstacles to stakeholders to drive delivery to market.
  • Develop subject matter expertise in financial and operational domains.
  • Code solutions with strong programming skills.
  • Collaborate across teams to deliver the best solutions for clients.

Required Qualifications, Capabilities, and Skills:
  • Bachelor's degree in a relevant quantitative field and 3+ years of data analytics experience, or advanced degree and 2+ years of experience.
  • Exceptional analytical, quantitative, problem-solving, and communication skills.
  • Intellectual curiosity for solving business problems.
  • Leadership and collaboration skills.
  • Knowledge of statistical software (e.g., Python, R, SAS) and data querying languages (e.g., SQL).
  • Familiarity with GenAI and prompt engineering basics (prompt design, evaluation, guardrails).
  • Experience with modern analytics tools (e.g., SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx).
  • Ability to convey complex information to technical and non-technical audiences.

Preferred Qualifications, Capabilities, and Skills:
  • Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM quality, cost, and latency.
  • Understanding of key drivers within the credit card P&L.
  • Financial services background preferred.
  • M.S. degree or equivalent.

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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