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Contract Ai Prompt Engineer Jobs in Delaware (NOW HIRING)

Aumni

Applied AI/ML - Vice President

Wilmington, DE · On-site

$120 - $160/hr

As Applied AI ML Lead at Consumer & Community Banking Tech, you will drive ML and GenAI projects ... prompt engineering, embeddings and context window. * Strong collaboration skills to work ...

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Contract Ai Prompt Engineer information

What is a contract AI prompt engineer?

Contract AI Prompt Engineers are professionals hired on a temporary or project basis to create, refine, and optimize prompts for artificial intelligence models, such as large language models (LLMs). Their main responsibility is to ensure AI systems understand and respond accurately to human input by designing effective queries and instructions. They work closely with clients or in-house teams to tailor prompts for specific business needs, improve model outputs, and sometimes help develop prompt libraries or documentation. As contractors, they typically work for a set duration or until a project is completed, providing specialized expertise without a long-term employment commitment.

What are the key skills and qualifications needed to thrive as a contract AI prompt engineer, and why are they important?

To thrive as a Contract AI Prompt Engineer, you need a solid understanding of natural language processing (NLP), machine learning concepts, and experience in designing effective prompts for AI models, often supported by a relevant degree or portfolio. Familiarity with AI platforms like OpenAI GPT, prompt engineering tools, and scripting languages such as Python is typically required. Strong problem-solving abilities, attention to detail, and clear communication skills help you collaborate with stakeholders and refine AI outputs. These skills are crucial to ensure the development of accurate, reliable, and user-friendly AI solutions for clients.

What are some common challenges contract AI prompt engineers face when working with diverse clients?

As a Contract AI Prompt Engineer, you'll often work with clients from various industries, each with unique goals and expectations regarding AI-generated content. One common challenge is quickly adapting to different brand voices and technical requirements while ensuring prompts produce accurate and relevant outputs. Additionally, managing project timelines and communication remotely can require strong organizational skills. Collaborating effectively with cross-functional teams, such as data scientists and product managers, is also essential to deliver optimal prompt solutions.

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

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

What job categories do people searching Contract Ai Prompt Engineer jobs in Delaware look for?

The top searched job categories for Contract Ai Prompt Engineer jobs in Delaware are:

What cities in Delaware are hiring for Contract Ai Prompt Engineer jobs?

Cities in Delaware with the most Contract Ai Prompt Engineer job openings:

Contract Ai Prompt Engineer jobs near you
Infographic showing various Contract Ai Prompt Engineer job openings in Delaware as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Sr Lead Software Engineer Python

JPMorgan Chase & Co.

Wilmington, DE • On-site

$180 - $240/hr

Other

Posted 13 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Sr Lead Software Engineer at JPMorgan Chase within the Chief Data and Analytics Office, youare an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

  • Execute creative software solutions, design, development, and technical troubleshooting for AI‑enabled applications.
  • Develop secure, high‑quality production code; review and debug SDK and service integrations.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Identify and automate remediation of recurring issues to improve reliability of AI features and services.
  • Lead evaluation sessions with vendors and internal teams on model capabilities, safety, and integration patterns.
  • Lead communities of practice to share prompt engineering, evaluation methods, and SDK best practices.
  • Add to team culture of diversity, opportunity, inclusion, and respect.
  • Build and ship AI‑powered features using AI (Bedrock or Foundry or Vertex AI), including prompt design, function calling, and SDK/REST integrations (no prior experience required).
  • Implement input/output safety (guardrails, moderation) and comprehensive LLM usage logging/monitoring (no prior experience required).

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 10+ years applied experience.
  • DevOps: CI/CD pipelines, infrastructure as code, containerization/orchestration, observability, and cloud platforms AWS, GCP, Azure
  • Hands‑on experience delivering system design, application development, testing, and operational stability.
  • Advanced proficiency in Python software engineering skills
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
  • Proficiency in automation and continuous delivery methods; strong unit/integration testing discipline.
  • Proficient in all aspects of the Software Development Life Cycle and secure coding practices.
  • Advanced understanding of CI/CD, application resiliency, and security for AI applications.
  • Practical cloud‑native experience.

Preferred qualifications, capabilities, and skills

  • Terraform is a plus
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