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:
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 ...
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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 ...
AI Solutions Engineer
Newark, DE · On-site
Apply technologies such as LLMs, RAG, agents, prompt engineering, APIs, and data pipelines where appropriate to improve productivity and decision-making. * Support the full solution lifecycle ...
AI Solutions Engineer
Newark, DE · On-site
Apply technologies such as LLMs, RAG, agents, prompt engineering, APIs, and data pipelines where appropriate to improve productivity and decision-making. * Support the full solution lifecycle ...
Work with LLMs, prompt engineering, RAG, embeddings, vector databases, and tool/function calling. Implement agent workflows using frameworks such as LangChain, LangGraph, OpenAI Agent SDK, Google ADK ...
Work with LLMs, prompt engineering, RAG, embeddings, vector databases, and tool/function calling. Implement agent workflows using frameworks such as LangChain, LangGraph, OpenAI Agent SDK, Google ADK ...
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 ...
AI Engineering Intern
Wilmington, DE · On-site
Support the development of AI agentic components such as task planning, tool use, memory, prompt ... Strong programming abilities in Python (and familiarity with ML libraries like TensorFlow, PyTorch)
AI Engineering Intern
Wilmington, DE · On-site
Support the development of AI agentic components such as task planning, tool use, memory, prompt ... Strong programming abilities in Python (and familiarity with ML libraries like TensorFlow, PyTorch)
Support the development of AI agentic components such as task planning, tool use, memory, prompt ... Strong programming abilities in Python (and familiarity with ML libraries like TensorFlow, PyTorch)
Support the development of AI agentic components such as task planning, tool use, memory, prompt ... Strong programming abilities in Python (and familiarity with ML libraries like TensorFlow, PyTorch)
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 • ...
Generative AI Engineer
Newark, DE · On-site
Leverage LLMs, prompt engineering, and ChatBot technologies. * Work with machine learning technologies to build solutions. * Collaborate with cross-functional teams on GenAI projects. Required ...
Generative AI Engineer
Newark, DE · On-site
Leverage LLMs, prompt engineering, and ChatBot technologies. * Work with machine learning technologies to build solutions. * Collaborate with cross-functional teams on GenAI projects. Required ...
CCB Risk Program Associate
Wilmington, DE · On-site
$57K - $57K/yr
Familiarity with large language models (LLMs) and their applications, including experience in fine-tuning, prompt engineering, and responsible deployment with appropriate safeguards, monitoring, and ...
CCB Risk Program Associate
Wilmington, DE · On-site
$57K - $57K/yr
Familiarity with large language models (LLMs) and their applications, including experience in fine-tuning, prompt engineering, and responsible deployment with appropriate safeguards, monitoring, and ...
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 Experience Designer
Dover, DE · On-site +1
Develop prompt frameworks and contribute to prompt engineering standards and best practices * Create user facing materials including playbooks guides and workflow documentation * Monitor adoption ...
AI Experience Designer
Dover, DE · On-site +1
Develop prompt frameworks and contribute to prompt engineering standards and best practices * Create user facing materials including playbooks guides and workflow documentation * Monitor adoption ...
AI Experience Designer
Dover, DE · On-site +1
Develop prompt frameworks and contribute to prompt engineering standards and best practices * Create user facing materials including playbooks guides and workflow documentation * Monitor adoption ...
AI Experience Designer
Dover, DE · On-site +1
Develop prompt frameworks and contribute to prompt engineering standards and best practices * Create user facing materials including playbooks guides and workflow documentation * Monitor adoption ...
Lead the end-to-end development of Generative AI and Agentic AI capabilities for CCB Risk Insights, including architecture design, prompt engineering, agent orchestration, and deployment of LLM ...
Lead the end-to-end development of Generative AI and Agentic AI capabilities for CCB Risk Insights, including architecture design, prompt engineering, agent orchestration, and deployment of LLM ...
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)
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)
Lead the end-to-end development of Generative AI and Agentic AI capabilities for CCB Risk Insights, including architecture design, prompt engineering, agent orchestration, and deployment of LLM ...
Lead the end-to-end development of Generative AI and Agentic AI capabilities for CCB Risk Insights, including architecture design, prompt engineering, agent orchestration, and deployment of LLM ...
Lead the end-to-end development of Generative AI and Agentic AI capabilities for CCB Risk Insights, including architecture design, prompt engineering, agent orchestration, and deployment of LLM ...
Lead the end-to-end development of Generative AI and Agentic AI capabilities for CCB Risk Insights, including architecture design, prompt engineering, agent orchestration, and deployment of LLM ...
Prompt Engineering information
See Delaware salary details
$32.5K - $38.3K
9% of jobs
$38.3K - $44K
6% of jobs
$48.2K is the 25th percentile. Wages below this are outliers.
$44K - $49.7K
14% of jobs
$49.7K - $55.5K
10% of jobs
The median wage is $61.2K / yr.
$55.5K - $61.2K
12% of jobs
$61.2K - $66.9K
9% of jobs
$71.4K is the 75th percentile. Wages above this are outliers.
$66.9K - $72.7K
21% of jobs
$72.7K - $78.4K
5% of jobs
$78.4K - $84.1K
6% of jobs
$84.1K - $89.8K
4% of jobs
$89.8K - $95.6K
4% of jobs
$32.5K
$63K
$95.6K
How much do prompt engineering jobs pay per year?
As of Sep 9, 2026, the average yearly pay for prompt engineering in Delaware is $63,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $72,100.00 per year, depending on experience, location, and employer.
What is prompt engineering?
A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.
What skills and qualifications are needed for prompt engineering?
To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.
What are the most common challenges faced by prompt engineers in their daily work?
Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.
Is prompt engineering still in demand?
Prompt engineering is currently in high demand as organizations seek experts to optimize interactions with AI language models. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, making it a valuable specialization in AI development and deployment.
What do you do as a prompt engineer?
A prompt engineer designs and refines prompts to optimize the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to improve accuracy and relevance in outputs.
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 Prompt Engineering jobs in Delaware?
For Prompt Engineering jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Prompt Engineering jobs in Delaware look for?
The top searched job categories for Prompt Engineering jobs in Delaware are:
What cities in Delaware are hiring for Prompt Engineering jobs?
Cities in Delaware with the most Prompt Engineering job openings:
GenAI Engineer
Wilmington, DE • On-site
ClifyX •
Recruiting and Staffing Services • 51 - 200 employees51 - 200 employees
Full-time
Re-posted 23 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