GenAI Engineer
Wilmington, DE · On-site
Machine Learning, Deep Learning, LLMs, Prompt Engineering, Fine-tuning • Frameworks: TensorFlow, PyTorch • GenAI Tools: LangChain, LlamaIndex • Vector DB: Pinecone, FAISS • Cloud Technologies:
GenAI Engineer
Wilmington, DE · On-site
Machine Learning, Deep Learning, LLMs, Prompt Engineering, Fine-tuning • Frameworks: TensorFlow, PyTorch • GenAI Tools: LangChain, LlamaIndex • Vector DB: Pinecone, FAISS • Cloud Technologies:
Agentic AI Engineer
Wilmington, DE · On-site
Strong understanding of prompt engineering, AI governance, observability, evaluation frameworks, and model optimization. * Collaborate with Product Owners, Architects, Data Scientists, and Platform ...
Agentic AI Engineer
Wilmington, DE · On-site
Strong understanding of prompt engineering, AI governance, observability, evaluation frameworks, and model optimization. * Collaborate with Product Owners, Architects, Data Scientists, and Platform ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Gen AI Engineer - Wilmington, DE, Fairfax, VA, Washington, DC, Silver Spring, MD, Philadelphia, PA
Wilmington, DE · On-site
$138K/yr
Required Skills • Python • Generative AI • LLMs • Prompt Engineering • RAG • Azure AI Foundry • Amazon Bedrock • Google Vertex AI • Azure OpenAI • Docker • Kubernetes • ...
Gen AI Engineer - Wilmington, DE, Fairfax, VA, Washington, DC, Silver Spring, MD, Philadelphia, PA
Wilmington, DE · On-site
$138K/yr
Required Skills • Python • Generative AI • LLMs • Prompt Engineering • RAG • Azure AI Foundry • Amazon Bedrock • Google Vertex AI • Azure OpenAI • Docker • Kubernetes • ...
Senior Python AI Developer(RAG/LLM)
Wilmington, DE · On-site
$70/hr
Experience with prompt engineering and AI workflow optimization * Strong SQL and NoSQL database experience * Experience with Docker and Kubernetes * Cloud experience with AWS, Azure, or Google Cloud ...
Quick apply
Senior Python AI Developer(RAG/LLM)
Wilmington, DE · On-site
$70/hr
Experience with prompt engineering and AI workflow optimization * Strong SQL and NoSQL database experience * Experience with Docker and Kubernetes * Cloud experience with AWS, Azure, or Google Cloud ...
Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Support the development of AI agentic components such as task planning, tool use, memory, prompt ...
Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Support the development of AI agentic components such as task planning, tool use, memory, prompt ...
Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Support the development of AI agentic components such as task planning, tool use, memory, prompt ...
Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Support the development of AI agentic components such as task planning, tool use, memory, prompt ...
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 ...
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 ...
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 ...
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 Platform Engineer, Python - Lead Software Engineer
Wilmington, DE · On-site
$156K - $215K/yr
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 ...
AI Platform Engineer, Python - Lead Software Engineer
Wilmington, DE · On-site
$156K - $215K/yr
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 ...
Experience with prompt engineering and LLM orchestration. * Knowledge of safety filters, audit logging, and explainability in production systems. * Experience mentoring senior engineers and leading ...
Experience with prompt engineering and LLM orchestration. * Knowledge of safety filters, audit logging, and explainability in production systems. * Experience mentoring senior engineers and leading ...
Experience with prompt engineering and LLM orchestration. * Knowledge of safety filters, audit logging, and explainability in production systems. * Experience mentoring senior engineers and leading ...
Experience with prompt engineering and LLM orchestration. * Knowledge of safety filters, audit logging, and explainability in production systems. * Experience mentoring senior engineers and leading ...
Experience with prompt engineering and LLM orchestration. * Knowledge of safety filters, audit logging, and explainability in production systems. * Experience mentoring senior engineers and leading ...
Experience with prompt engineering and LLM orchestration. * Knowledge of safety filters, audit logging, and explainability in production systems. * Experience mentoring senior engineers and leading ...
Experience with prompt engineering and LLM orchestration. * Knowledge of safety filters, audit logging, and explainability in production systems. * Experience mentoring senior engineers and leading ...
Experience with prompt engineering and LLM orchestration. * Knowledge of safety filters, audit logging, and explainability in production systems. * Experience mentoring senior engineers and leading ...
Experience with prompt engineering and LLM orchestration. * Knowledge of safety filters, audit logging, and explainability in production systems. * Experience mentoring senior engineers and leading ...
New
Experience with prompt engineering and LLM orchestration. * Knowledge of safety filters, audit logging, and explainability in production systems. * Experience mentoring senior engineers and leading ...
New
Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps practices for deploying and maintaining AI solutions. * Previous experience in automation or workflow ...
Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps practices for deploying and maintaining AI solutions. * Previous experience in automation or workflow ...
Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps practices for deploying and maintaining AI solutions. * Previous experience in automation or workflow ...
Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps practices for deploying and maintaining AI solutions. * Previous experience in automation or workflow ...
Prompt Engineer information
See Delaware salary details
$10.10 - $17.19
7% of jobs
$17.19 - $24.28
13% of jobs
$24.28 - $31.36
3% of jobs
$32.12 is the 25th percentile. Wages below this are outliers.
$31.36 - $38.45
15% of jobs
The median wage is $43.65 / hr.
$38.45 - $45.54
16% of jobs
$45.54 - $52.62
3% of jobs
$58.78 is the 75th percentile. Wages above this are outliers.
$52.62 - $59.71
20% of jobs
$59.71 - $66.80
9% of jobs
$66.80 - $73.88
7% of jobs
$73.88 - $80.97
3% of jobs
$80.97 - $88.06
3% of jobs
$10
$47
$88
How much do prompt engineer jobs pay per hour?
As of Sep 12, 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 is a prompt engineer?
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.
What does a prompt engineer do?
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 skills and qualifications are needed to be a prompt engineer?
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.
Are prompt engineers still in demand?
Prompt engineers are currently in demand as organizations seek professionals skilled in designing effective prompts for AI language models. The role often requires knowledge of natural language processing, machine learning, and familiarity with AI tools like GPT. Demand is expected to grow as AI integration expands across industries.
How much do prompt engineers make?
Prompt engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI and machine learning can command higher salaries, especially in tech hubs or companies investing heavily in AI development.
What exactly is prompt engineer work?
A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant responses. This role involves understanding AI behavior, crafting clear instructions, and often requires knowledge of machine learning, programming, or data analysis.
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:
GenAI Engineer
Wilmington, DE • On-site
ClifyX
• Recruiting and Staffing Services • 51 - 200 employees51 - 200 employees
Full-time
Re-posted 26 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 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.
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