AI Prompt Engineer

Nassau Candy•Hicksville, NY

1d•$120,000 - $180,000•Hybrid

About The Position

Nassau Candy is seeking an experienced AI Prompt Engineer to help drive the organization's artificial intelligence strategy by designing, implementing, and optimizing AI-powered business solutions. This individual will work closely with business leaders across manufacturing, distribution, sales, customer service, finance, HR, and other functional areas to identify opportunities where artificial intelligence can improve efficiency, automate repetitive tasks, enhance decision-making, and support our NetSuite ERP environment. The ideal candidate combines strong technical expertise with practical business acumen and has hands-on experience developing AI prompts, intelligent agents, workflow automations, and system integrations. This position will play a critical role in accelerating Nassau Candy's digital transformation initiatives while ensuring solutions are secure, scalable, accurate, and aligned with company standards.

Requirements

Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Science, Artificial Intelligence, or a related technical field, or equivalent combination of education and experience.
Five (5) or more years of experience in software engineering, automation, systems integration, or technical solution development.
Demonstrated experience implementing AI or Large Language Model (LLM) solutions in production business environments.
Strong programming skills, including Python and API development.
Experience with scripting, automation frameworks, and workflow development.
Experience integrating enterprise applications and business systems.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders.
Ability to manage multiple projects and priorities in a fast-paced environment.
Strong understanding of prompt engineering methodologies and AI optimization techniques.
Knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, and AI workflow architecture.
Ability to design scalable AI solutions that improve operational performance.
Strong project management and organizational skills.
Excellent written and verbal communication abilities.
Ability to work independently while collaborating effectively across departments.
Commitment to continuous learning in the rapidly evolving AI landscape.

Nice To Haves

Experience with NetSuite ERP.
Experience with Microsoft Copilot, OpenAI, Anthropic Claude, Google Gemini, or similar enterprise AI platforms.
Experience with workflow automation platforms such as Power Automate, Make, Zapier, or n8n.
Experience building AI agents and orchestration workflows.
Experience supporting manufacturing, distribution, supply chain, wholesale, consumer products, or food manufacturing environments.
Familiarity with SQL, cloud platforms, and enterprise integration architecture.

Responsibilities

Identify opportunities to leverage AI across business operations to improve productivity, quality, and operational efficiency.
Partner with department leaders to understand business processes and recommend AI-driven improvements.
Evaluate existing workflows and develop automation solutions that reduce manual effort and eliminate repetitive tasks.
Support continuous improvement initiatives through intelligent process automation.
Design, test, and optimize prompts for Large Language Models (LLMs) to deliver accurate, consistent, and business-appropriate outputs.
Develop and maintain AI agents, copilots, and intelligent assistants that support internal users.
Continuously evaluate AI performance and refine prompts based on user feedback, business requirements, and measurable outcomes.
Establish prompt engineering standards and best practices across the organization.
Develop AI-powered tools, automations, and workflow solutions using Python, APIs, scripting, and integration technologies.
Integrate AI capabilities into existing business applications, including NetSuite and other enterprise platforms.
Connect internal and external data sources to enable end-to-end intelligent workflows.
Collaborate with IT, software vendors, and business stakeholders on solution architecture and deployment.
Develop key performance indicators (KPIs) to measure AI effectiveness, including: Accuracy, Productivity improvements, Cycle time reduction, Workflow throughput, User adoption, Operational efficiency.
Analyze AI performance and recommend ongoing improvements.
Prepare reports and presentations demonstrating business impact and return on investment.
Develop documentation, standards, and governance surrounding responsible AI usage.
Train employees on AI tools and best practices.
Partner with leadership to encourage adoption of AI solutions throughout the organization.
Ensure AI implementations comply with company security standards, privacy requirements, and internal policies.