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Ai Prompt Engineer Jobs in Delaware (NOW HIRING)

Photon

Lead AI Engineer

Newark, DE · On-site

$100K - $132K/yr

... Lead AI Engineer Newark, DE - Onsite Responsibilities Owns end-to-end delivery of how the ... Define standards for advanced prompt engineering and context window management . * Own delivery of ...

Athena LLC

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 ...

Athenago

AI Engineering Intern

Wilmington, DE

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 ...

ClifyX

GenAI Engineer

Wilmington, DE · On-site

Python • AI/ML & GenAI: Machine Learning, Deep Learning, LLMs, Prompt Engineering, Fine-tuning • Frameworks: TensorFlow, PyTorch • GenAI Tools: LangChain, LlamaIndex • Vector DB: Pinecone ...

Morson Talent

AI Adoption Specialist

Wilmington, DE · On-site +1

$35 - $45/hr

Contribute to the coordinated execution of AI initiatives across engineering teams. Create, test, and refine prompts for generative AI applications. Participate in prompt tuning and experimentation ...

Td

Data Scientist III - FCRM

Wilmington, DE

$96K - $155K/yr

Experience with machine learning, generative AI, large language models (LLMs), agentic AI, prompt engineering, and AI-powered business solutions. * AML, Financial Crime, Compliance, Audit, Risk, or ...

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Ai Prompt Engineer information

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$25

$53

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How much do ai prompt engineer jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for ai prompt engineer in Delaware is $53.68, according to ZipRecruiter salary data. Most workers in this role earn between $43.32 and $62.31 per hour, depending on experience, location, and employer.

What is the job of an AI prompt engineer?

An AI prompt engineer designs and optimizes prompts to improve the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like GPT to ensure accurate and relevant outputs, often requiring skills in programming, linguistics, and AI concepts.

How do I become an AI prompt engineer?

To become an AI prompt engineer, develop strong skills in natural language processing, machine learning, and programming languages like Python. Gain experience with AI models such as GPT and learn to craft effective prompts through practice and understanding of model behavior. Relevant certifications, online courses, and familiarity with AI tools can also enhance your qualifications.

What is an AI Prompt Engineer job?

An AI Prompt Engineer designs, tests, and optimizes prompts to improve the performance of AI language models. They ensure that AI-generated responses align with desired outcomes by refining input prompts and analyzing model behavior. This role requires a mix of technical skills, creativity, and an understanding of natural language processing (NLP). Prompt engineers often collaborate with developers, data scientists, and product teams to enhance AI interactions.

How much do AI prompt engineers make?

AI prompt engineers typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and natural language processing can command higher salaries. Many positions also offer benefits such as flexible schedules and opportunities for professional development.

Are AI prompt engineers in demand?

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

What are the typical daily tasks of an AI Prompt Engineer?

As an AI Prompt Engineer, your day-to-day work often involves designing, testing, and refining prompts to improve the performance and accuracy of AI models for various applications. You'll frequently collaborate with data scientists, product managers, and software developers to understand requirements and integrate AI solutions effectively. Analyzing prompt outputs, troubleshooting issues, and documenting best practices are integral parts of the role. This position offers a dynamic and intellectually stimulating environment where continual learning and innovation are encouraged.

What are the key skills and qualifications needed to thrive in the Ai Prompt Engineer position, and why are they important?

To thrive as an AI Prompt Engineer, a solid background in natural language processing, programming (such as Python), and understanding of machine learning concepts is essential, typically supported by a degree in computer science or a related field. Experience with AI frameworks (like OpenAI's APIs), prompt engineering tools, and familiarity with cloud platforms are highly valued and may be supplemented by certifications in AI or data science. Strong analytical thinking, creativity, and excellent communication skills allow for designing effective prompts and collaborating with technical and non-technical stakeholders. These skills and qualities ensure the development of high-quality AI solutions that meet user needs and maximize the effectiveness of language models.

What are the most commonly searched types of Ai Prompt Engineer jobs in Delaware? The most popular types of Ai Prompt Engineer jobs in Delaware are:
What are popular job titles related to Ai Prompt Engineer jobs in Delaware? For Ai Prompt Engineer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Ai Prompt Engineer jobs in Delaware look for? The top searched job categories for Ai Prompt Engineer jobs in Delaware are:
What cities in Delaware are hiring for Ai Prompt Engineer jobs? Cities in Delaware with the most Ai Prompt Engineer job openings:
Ai Prompt Engineer jobs near you
Infographic showing various Ai Prompt Engineer job openings in Delaware as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $111,648 per year, or $53.7 per hour.

Lead AI Engineer

Photon

Newark, DE • On-site

$100K - $132K/yr

Other

Posted 11 days ago

Job description

Hi,

Hope you are doing well,

Myself Mankar from Photon and I have a position with our direct client, please send me your updated resume if you are interested and you can connect me through

Lead AI Engineer

Newark, DE - Onsite

Responsibilities

Owns end-to-end delivery of how the organization builds LLM-powered applications: SDK/integration architecture, retrieval and agent design, guardrails, and evaluation. Makes the calls on which LLMs to use for which use cases and sets the observability/cost discipline around AI systems, but is measured on shipped outcomes runs the offshore team day-to-day and stays hands-on to unblock delivery risk.

Description for Internal Candidates

Key Responsibilities

  • Own delivery of LLM API integration and SDK patterns used across applications.
  • Set organizational guidance on which LLM to use for what use case and drive delivery of multi-LLM scenarios.
  • Define standards for advanced prompt engineering and context window management.
  • Own delivery of RAG systems, including vector database selection/topology and knowledgebase design.
  • Drive delivery of AI agent and multi-agent systems and tool-use/MCP integration patterns.
  • Own guardrails delivery (safety, compliance, PII handling in prompts/outputs) critical in a financial-services context.
  • Define evaluation frameworks and real-time eval strategy; set standards for AI testing in CI/CD.
  • Own latency profiling, AI observability, and cost tracking/management for LLM-backed systems.
  • Run day-to-day delivery of the offshore development team: sprint commitments, code/design review, real-time unblocking, and hands-on work on critical-path AI features.
  • Report delivery status, risks, and blockers to engineering leadership.

Must-Have Qualifications

  • 6+ years in software engineering, with 2+ years as a tech lead owning end-to-end delivery of LLM/AI-powered systems (not a pure design/review architect role).
  • Proven track record of shipping AI-powered features on committed timelines, including hands-on troubleshooting under delivery pressure.
  • Strong, hands-on Python skills at an architectural/systems level.
  • Proven experience architecting LLM API integrations and SDK-level abstractions across multiple providers.
  • Demonstrated judgment on model selection (cost, latency, capability trade-offs) across use cases.
  • Deep expertise in prompt engineering and context window management at scale.
  • Proven design experience with RAG systems, including vector database architecture and knowledgebase design.
  • Experience architecting AI agents/multi-agent systems and tool-use patterns (MCP or equivalent).
  • Strong understanding of guardrails design content safety, PII protection, compliance controls for AI outputs.
  • Experience defining evaluation frameworks and integrating AI testing into CI/CD.
  • Proven ability to design for latency, observability, and cost management of AI systems in production.
  • Financial-services or regulated-industry experience strongly preferred given compliance/guardrail stakes.
  • Strong stakeholder communication; able to directly manage day-to-day delivery of an offshore team (standups, unblocking, sprint accountability).

Nice-to-Have Qualifications

  • Direct experience with specific frameworks (LangChain, LlamaIndex, Semantic Kernel, or equivalent).
  • Experience with AWS Bedrock or comparable managed LLM platforms.
  • Contributions to or deep familiarity with MCP (Model Context Protocol) implementations.
  • Experience building internal LLM gateways.
  • Familiarity with responsible-AI/model-risk-management frameworks used in financial services.

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