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Manager Prompt Engineering Jobs in Delaware (NOW HIRING)

ClifyX

GenAI Engineer

Wilmington, DE · On-site

Machine Learning, Deep Learning, LLMs, Prompt Engineering, Fine-tuning • Frameworks: TensorFlow ... Strong communication, stakeholder management, and analytical thinking Company : ClifyX provides ...

Photon

Lead AI Engineer | Onsite - Delaware

Wilmington, DE · On-site

$99K - $131K/yr

Define standards for advanced prompt engineering and context window management . * Own delivery of RAG systems , including vector database selection/topology and knowledgebase design . * Drive ...

Photon

Lead AI Engineer | Onsite - Delaware

Wilmington, DE

$99K - $131K/yr

Define standards for advanced prompt engineering and context window management . * Own delivery of RAG systems , including vector database selection/topology and knowledgebase design . * Drive ...

Percient Inc.

Agentic AI

Wilmington, DE · On-site

... management, tool/function calling, and workflow orchestration. * Hands-on experience with ... Strong understanding of prompt engineering, AI governance, observability, evaluation frameworks ...

Morson Talent

AI Adoption Specialist

Wilmington, DE · On-site +1

$35 - $45/hr

In this role, you will work with product managers, developers, and business stakeholders to support ... Participate in prompt tuning and experimentation to improve model outputs. Assist with integrating ...

JP Morgan Chase

CCB Risk Program Associate

Wilmington, DE · On-site

$57K - $57K/yr

... prompt engineering. * Hands-on experience with LLM APIs, Python libraries like Pandas, NumPy ... We are here to help you manage your money with checking, savings and credit cards, combining the ...

JPMorgan Chase & Co

CCB Risk Program Associate

Wilmington, DE · On-site

$57K - $57K/yr

... prompt engineering. * Hands-on experience with LLM APIs, Python libraries like Pandas, NumPy ... We are here to help you manage your money with checking, savings and credit cards, combining the ...

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Manager Prompt Engineering information

What is a manager of prompt engineering?

A Manager of Prompt Engineering is a professional who leads teams focused on designing, developing, and optimizing prompts for artificial intelligence models, particularly large language models (LLMs) like ChatGPT. They oversee the creation of effective prompts to ensure AI systems provide accurate, relevant, and safe responses. This role involves collaborating with data scientists, engineers, and product managers, as well as setting best practices for prompt creation and evaluation. Additionally, they may be responsible for training team members and implementing strategies to improve prompt performance over time.

What are the key skills and qualifications needed to thrive as a manager of prompt engineering?

To thrive as a Manager of Prompt Engineering, you need expertise in natural language processing, AI model deployment, and prompt design, typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), prompt engineering platforms, and version control systems is expected, along with experience managing technical teams. Strong leadership, problem-solving, and communication skills distinguish top performers in this role. These abilities are crucial for ensuring effective AI solutions, driving team productivity, and aligning prompt engineering initiatives with organizational goals.

How does a manager of prompt engineering typically collaborate with cross-functional teams to optimize AI outputs?

As a Manager of Prompt Engineering, you will frequently collaborate with data scientists, software engineers, product managers, and UX designers to refine and optimize prompt strategies for AI models. This involves translating business requirements into effective prompt templates, conducting prompt experiments, and communicating findings to stakeholders. Regular cross-functional meetings and feedback sessions are common, ensuring that the AI outputs align with both technical capabilities and user needs. Building strong relationships across teams is essential for successfully iterating on prompt designs and deploying scalable solutions.

Are manager prompt engineers still in demand?

Manager prompt engineers are increasingly in demand as organizations seek professionals who can optimize AI interactions and develop effective prompts. The role requires skills in AI, natural language processing, and team management, and is expected to grow with the expansion of AI applications across industries.

Is manager prompt engineering a good career?

Manager prompt engineering is a growing role focused on designing and optimizing prompts for AI systems, requiring skills in AI, machine learning, and communication. It offers opportunities in technology companies and startups, often involving collaboration with data scientists and engineers. The career can be rewarding with increasing demand as AI adoption expands across industries.

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

The most popular types of Prompt Engineering jobs in Delaware are:

What are popular job titles related to Manager Prompt Engineering jobs in Delaware?

For Manager Prompt Engineering jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Manager Prompt Engineering jobs in Delaware look for?

The top searched job categories for Manager Prompt Engineering jobs in Delaware are:

What cities in Delaware are hiring for Manager Prompt Engineering jobs?

Cities in Delaware with the most Manager Prompt Engineering job openings:

Manager Prompt Engineering jobs near you

GenAI Engineer

ClifyX

Wilmington, DE • On-site

Full-time

Re-posted 9 days ago

Job description

Job Summary:
ClifyX is a company focused on innovative technology solutions, and they are seeking a GenAI Engineer to design and develop AI and Machine Learning solutions specifically for banking applications. The role involves building and deploying models, ensuring compliance, and collaborating with various teams to enhance AI capabilities.
Responsibilities:
• Design and develop AI/ML and Generative AI solutions for banking use cases including fraud detection, risk modeling, and customer analytics.
• Build, fine-tune, and deploy ML models and LLMs for credit scoring, AML, and automation
• Implement RAG-based GenAI applications using internal banking data
• Develop scalable data pipelines for training, validation, and real-time inference
• Collaborate with risk, compliance, finance, and business teams for AI solutions
• Ensure regulatory compliance and AI governance standards
• Implement data security, privacy, and access control mechanisms
• Integrate AI models into production using APIs and microservices
• Apply prompt engineering and model optimization techniques
• Monitor model performance, drift detection, and continuous improvement
• Develop explainable AI (XAI) for transparent decision-making
• Optimize cost, latency, and scalability of AI systems
• Troubleshoot AI/ML system issues across data and deployment layers
• Write efficient Python code using AI frameworks
• Follow MLOps best practices (CI/CD, automated deployment)
• Ensure responsible AI practices (bias, fairness, ethics)
• Mentor teams and contribute to enterprise AI platforms.
Qualifications:
Required:
• Design and develop AI/ML and Generative AI solutions for banking use cases including fraud detection, risk modeling, and customer analytics.
• Build, fine-tune, and deploy ML models and LLMs for credit scoring, AML, and automation
• Implement RAG-based GenAI applications using internal banking data
• Develop scalable data pipelines for training, validation, and real-time inference
• Collaborate with risk, compliance, finance, and business teams for AI solutions
• Ensure regulatory compliance and AI governance standards
• Implement data security, privacy, and access control mechanisms
• Integrate AI models into production using APIs and microservices
• Apply prompt engineering and model optimization techniques
• Monitor model performance, drift detection, and continuous improvement
• Develop explainable AI (XAI) for transparent decision-making
• Optimize cost, latency, and scalability of AI systems
• Troubleshoot AI/ML system issues across data and deployment layers
• Write efficient Python code using AI frameworks
• Follow MLOps best practices (CI/CD, automated deployment)
• Ensure responsible AI practices (bias, fairness, ethics)
• Mentor teams and contribute to enterprise AI platforms.
• Languages: Python
• AI/ML & GenAI: Machine Learning, Deep Learning, LLMs, Prompt Engineering, Fine-tuning
• Frameworks: TensorFlow, PyTorch
• GenAI Tools: LangChain, LlamaIndex
• Vector DB: Pinecone, FAISS
• Cloud Technologies: AWS / Azure / GCP
• Data Pipelines: ETL/ELT, Real-time & Batch Processing
• Integration: APIs, Microservices
• Concepts: RAG Architecture, XAI, Model Optimization
• Methodologies: Agile/Scrum, MLOps (CI/CD, Model Versioning, Deployment)
• Compliance: Banking regulations (SR 11-7, GDPR), Model Risk Management
• Soft Skills: Strong communication, stakeholder management, and analytical thinking
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.
ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998

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