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Llm Prompt Engineer Jobs in Delaware (NOW HIRING)

ApTask

AI-ML Tech Lead

Wilmington, DE · On-site

$42K - $55K/yr

... vectorization, LLM fine‐tuning, evaluation, and safety mechanisms. • Define prompting ... LLMs, Agentic architectures, Prompt engineering, RAG pipelines. • Experience designing complex ...

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Llm Prompt Engineer information

What is an LLM Prompt Engineer?

An LLM Prompt Engineer is a professional who specializes in designing, testing, and optimizing prompts for large language models (LLMs) such as GPT-4. Their role involves crafting effective instructions and queries to guide the model's output for specific applications, ensuring accuracy, relevance, and reliability. They may also analyze model behavior, implement prompt-based workflows, and collaborate with developers to integrate LLMs into products or services. The goal is to maximize the performance and efficiency of language models in various real-world contexts.

What are the key skills and qualifications needed to thrive as an LLM Prompt Engineer?

To thrive as an LLM Prompt Engineer, you need a deep understanding of natural language processing, prompt engineering strategies, and proficiency in programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), large language model APIs, and version control systems is typically required. Strong analytical thinking, creativity, and effective communication are crucial soft skills for crafting precise prompts and collaborating with cross-functional teams. These skills ensure the development of effective, ethical, and high-performing AI-powered solutions that meet diverse user needs.

What are some common challenges faced by LLM Prompt Engineers when designing effective prompts for large language models?

LLM Prompt Engineers often encounter challenges such as ensuring prompts are both clear and unambiguous to elicit accurate model responses, as well as avoiding bias or unintended outputs. Balancing creativity and specificity in prompt design can be tricky, especially when tailoring prompts for diverse user intents or specialized domains. Additionally, prompt engineers must frequently iterate and test their prompts, collaborating closely with data scientists and product teams to continually refine them based on observed model behavior and user feedback.

What is the difference between Llm Prompt Engineer vs Data Scientist?

AspectLlm Prompt EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; familiarity with NLP and AI toolsBachelor's or higher in CS, Statistics, or related fields; strong programming and statistical skills
Work EnvironmentAI labs, tech companies, startups focusing on NLP and AI modelsData analysis, modeling, and visualization in various industries like finance, healthcare, tech
Employer & Industry UsagePrimarily in AI development, NLP projects, and machine learning teamsAcross industries for data analysis, predictive modeling, and decision support

While both roles involve working with data and AI, Llm Prompt Engineers focus on designing prompts for language models, whereas Data Scientists analyze data to derive insights. The roles share similar educational backgrounds and work environments but differ in their core tasks and industry applications.

Are AI prompt engineers in demand?

AI prompt engineers are increasingly in demand as organizations seek to optimize interactions with large language models and AI systems. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, with job growth driven by expanding AI applications across industries.

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Llm Prompt Engineer jobs near you

Sr Lead Software Engineer Python

JP Morgan Chase

Wilmington, DE

Full-time

Medical, Retirement

Posted 14 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, you are 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 AIenabled applications.
  • Develop secure, highquality 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 AIpowered 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
  • Handson 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 cloudnative experience.
     

Preferred qualifications, capabilities, and skills

  • Terraform is a plus
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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