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Senior Prompt Engineering Jobs in Delaware (NOW HIRING)

Machine Learning, Deep Learning, LLMs, Prompt Engineering, Fine-tuning • Frameworks: TensorFlow ... Banking regulations (SR 11-7, GDPR), Model Risk Management • Soft Skills: Strong communication ...

Collaborate with senior AI engineers to prototype systems that use AI for agentic workflows ... Support the development of AI agentic components such as task planning, tool use, memory, prompt ...

Collaborate with senior AI engineers to prototype systems that use AI for agentic workflows ... Support the development of AI agentic components such as task planning, tool use, memory, prompt ...

Working knowledge of generative AI, intelligent automation, prompt engineering, and responsible AI ... Senior leadership scope - own the full stack from roadmap to delivery to governance * Strategic ...

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Senior Prompt Engineering information

Are senior prompt engineers still in demand?

Senior prompt engineers are increasingly in demand as organizations adopt AI and natural language processing technologies. Their expertise in designing effective prompts and working with large language models is valuable across industries, and demand is expected to grow with advancements in AI tools and applications.

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

To excel as a Senior Prompt Engineer, you need strong expertise in natural language processing (NLP), machine learning principles, and experience with large language models, typically supported by a degree in computer science or a related field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and prompt design tools is essential, as are any relevant certifications in AI or data science. Exceptional analytical thinking, creativity, and communication skills help in crafting effective prompts and collaborating with cross-functional teams. These competencies ensure the development of high-quality AI solutions that meet user requirements and drive innovation.

What are some common challenges faced by senior prompt engineers when collaborating with cross-functional teams?

Senior Prompt Engineers often work closely with data scientists, product managers, and software engineers to develop effective AI prompts. A common challenge is ensuring clear communication about technical constraints and user requirements, as team members may have varying levels of familiarity with prompt engineering concepts. Balancing creativity with practical limitations—such as model capabilities and ethical guidelines—requires active collaboration and adaptability. Additionally, aligning prompt design with evolving project goals can be complex, so strong project management and interpersonal skills are essential for success in this role.

What is the difference between Senior Prompt Engineering vs Prompt Engineer?

AspectSenior Prompt EngineeringPrompt Engineer
CredentialsTypically requires experience in AI, NLP, and related certificationsEntry to mid-level skills in AI and prompt design
Work EnvironmentAdvanced projects, leadership roles, strategic planningHands-on prompt creation, testing, and optimization
Industry UsageUsed in organizations developing AI models and NLP applicationsCommon in AI startups, research labs, and tech companies

Senior Prompt Engineering involves leading complex AI projects, designing advanced prompts, and mentoring teams, while Prompt Engineers focus on creating and refining prompts for specific applications. The senior role requires more experience and strategic oversight, whereas the prompt engineer role is more hands-on and task-focused.

What is a senior prompt engineer?

A Senior Prompt Engineer is a specialist who designs, develops, and optimizes prompts to interact effectively with artificial intelligence language models, such as ChatGPT or other generative AI systems. They leverage deep understanding of AI behavior and natural language processing to create instructions that yield accurate, relevant, and safe outputs. Senior Prompt Engineers may also lead teams, establish best practices, and collaborate with product, engineering, and research teams to improve AI performance and user experience.
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 Senior Prompt Engineering jobs in Delaware? For Senior Prompt Engineering jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Senior Prompt Engineering jobs in Delaware look for? The top searched job categories for Senior Prompt Engineering jobs in Delaware are:
What cities in Delaware are hiring for Senior Prompt Engineering jobs? Cities in Delaware with the most Senior Prompt Engineering job openings:

Senior Python AI Developer

Donato Technologies Inc

Wilmington, DE • On-site

$117K - $158K/yr

Other

Posted yesterday

New


Job description

The client is seeking a highly experienced Senior Python AI Developer with expertise in building enterprise-grade Generative AI applications. The ideal candidate will have extensive experience designing and implementing Retrieval-Augmented Generation (RAG) solutions, integrating Large Language Models (LLMs), and developing scalable AI platforms for financial services.
Required Skills
  • 10+ years of software development experience
  • Strong expertise in Python development
  • Hands-on experience building Retrieval-Augmented Generation (RAG) applications
  • Experience integrating LLMs such as GPT, Claude, Llama, Gemini, or Mistral
  • Experience with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks
  • Strong knowledge of vector databases including Pinecone, FAISS, Weaviate, ChromaDB, or Milvus
  • Experience with embedding models and semantic search
  • Experience developing REST APIs using FastAPI or Flask
  • 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 Platform
  • Experience with Git, CI/CD, and DevOps practices
  • Understanding of AI security, governance, and responsible AI practices
  • Experience working in Agile/Scrum environments
Preferred Skills
  • Financial or banking domain experience
  • Experience with OCR and document intelligence
  • Knowledge of AI agents and multi-agent frameworks
  • Experience deploying enterprise AI solutions
  • Experience with model evaluation and observability
Responsibilities
  • Design and build enterprise RAG solutions
  • Develop scalable AI services using Python
  • Build semantic search and document retrieval pipelines
  • Integrate vector databases and LLMs
  • Optimize prompt engineering and retrieval strategies
  • Collaborate with data scientists, architects, and business stakehold