AI Prompt Engineer and Business Analyst

Job Overview
This role focuses on crafting and optimizing prompts to guide large language models (LLMs) like ChatGPT in producing accurate, context-relevant outputs? that drive business value. You will leverage your business analysis background and data-savvy mindset to implement AI-driven solutions in enterprise workflows, bridging the gap between technical AI capabilities and practical business needs. Note: This is not a pure data science role – the emphasis is on applying AI tools and business acumen to real-world business processes, rather than developing algorithms from scratch.
Key Responsibilities
Design and Refine Prompts: Create, test, and optimize prompts that instruct LLMs (e.g. ChatGPT) to deliver precise, useful outputs for various business scenarios? Continuously experiment with phrasing and context to improve AI responses for tasks such as reporting, content generation, and process automation.


Analyze AI Output and Iterate: Rigorously evaluate the quality and relevance of AI-generated outputs. Use an analytical approach to identify prompt effectiveness, troubleshoot issues, and iteratively refine prompts or parameters to improve results Ensure the AI’s answers align with business goals and are reliable for decision-making.


Integrate AI into Business Workflows: Work with stakeholders to identify opportunities where generative AI can streamline operations or solve business problems. Implement AI solutions (using LLMs) into existing enterprise workflows and software, ensuring they complement and enhance current processes. This may involve setting up automations or tools that connect AI outputs with spreadsheet analyses or other systems.


Data Handling and Reporting: Utilize spreadsheet tools (Google Sheets) to compile and analyze data outputs from AI models. Translate AI results into clear reports or visualizations for business teams, and use your findings to suggest improvements in prompts or process adjustments.


Collaborate with Cross-Functional Teams: Work closely with managers, data scientists, IT, and executives to align AI capabilities with business requirements?
Serve as a liaison between technical teams and non-technical stakeholders – for example, help employees, managers, and executives understand business context for model outputs, help understand AI limitations and best practices.


Documentation and Training: Document prompt methodologies, experiment results, and best practices for using AI tools in the company. Train or guide end-users and tea ---------- mbers in effectively using AI-driven systems (such as how to interact with an AI assistant or interpret its outputs).


Ensure Ethical and Quality AI Use: Monitor AI outputs for accuracy, relevance, and compliance with company policies. Proactively refine prompts to minimize biased or inappropriate content, upholding ethical AI usage standards and data privacy guidelines. Stay vigilant about potential errors or risks in AI responses and address them promptly.


Continuous Learning: Stay up-to-date with the latest advancements in AI and prompt engineering. Research new techniques, features, or tools (e.g., updates to ChatGPT or other AI platforms) and evaluate how they could be applied to improve our processes. Share insights and recommend adoption of new AI capabilities that could benefit the business.


Required Skills & Qualifications
Education: Bachelor’s degree in Business, Information Systems, Computer Science, or a related field? (A master’s degree is a plus, but not required.)


Business & Analytical Acumen: Experience in a business analyst or data analyst role (entry to mid-level experience, ~3-5 years) where you have interpreted data and delivered insights to support business decisions. Strong understanding of business processes and the ability to translate business requirements into technical solutions.


Spreadsheet Proficiency: Advanced skills in Google Sheets for data analysis, reporting, and automation. Ability to manipulate and analyze datasets and present findings clearly using these tools.


AI and LLM Knowledge: Working knowledge of artificial intelligence and natural language processing – specifically, familiarity with large language models. Hands-on experience using AI tools like OpenAI’s ChatGPT (or similar LLMs) is required?. You should understand how AI prompts work and have the creativity to craft effective prompts for desired outcomes.


Prompt Engineering Skills: Demonstrated ability to write clear and effective prompts to yield useful AI outputs. Understanding of how prompt wording, context, and structure affect an LLM’s response?. Ability to perform prompt tuning through trial and error and systematically improve AI results.


Technical Skills: Comfort with technology and enterprise software. Experience working with large datasets or enterprise systems (CRM, ERP, workflow management tools, etc.) is helpful. Basic programming or scripting ability (especially in Python) is preferred for automating tasks or integrating AI tools?. For example, you may write simple Python scripts to call AI APIs or process data between systems.


Communication Skills: Excellent English communication skills, both written and verbal. Able to explain AI outcomes and technical concepts in business-friendly terms. You will frequently document findings and present recommendations to stakeholders, so clarity and professionalism in communication are a must.


Problem-Solving: Strong problem-solving and critical thinking skills. Capable of troubleshooting issues with AI outputs or data anomalies in spreadsheets, and adjusting your approach accordingly. A detail-oriented mindset with a commitment to accuracy and quality in all deliverables?.


Team Collaboration: Ability to work independently during the night shift while maintaining close collaboration with a remote team. Experience in cross-functional team environments and comfort using online collaboration tools (email, Slack, project management software, etc.). Self-motivated and disciplined to meet deadlines with minimal supervision due to the remote work nature.


Preferred Qualifications
AI/ML Tools: Familiarity with AI and ML platforms or frameworks (such as OpenAI API, Azure Cognitive Services, Google AI, Hugging Face, etc.). Knowledge of how to use these platforms to deploy or test models is a plus.


Machine Learning Basics: Understanding of basic machine learning models and statistics – for instance, experience with regression analysis or other predictive models. While you won't be building models from scratch, this knowledge can help in collaborating with data science teams or interpreting model outputs.


Automation and Scripting: Experience with workflow automation tools (e.g., Zapier, Power Automate) or business process management tools. Any experience writing scripts (Python, VBA, etc.) to automate data processing or report generation is a plus.


Domain Experience: Background in working with enterprise workflow systems or in industries like RHVAC, Construction. Domain knowledge can help contextualize AI solutions to the business’s specific needs.
Need not apply if the requirements/qualifications above are not met.


Why This Role?
This position offers a unique opportunity to combine business analysis expertise with cutting-edge AI technology. You will play a key role in how our company leverages generative AI to improve operations and innovate processes. As an AI Prompt Engineer and Business Analyst, you’ll be at the forefront of integrating LLM capabilities into real business scenarios – from enhancing data analysis with AI-driven insights to automating routine tasks with intelligent assistants. If you are excited about the potential of AI (especially LLMs) and have the business savvy to harness it in practical ways, we encourage you to apply. Join us in shaping the future of our AI-driven business processes and make a tangible impact in a collaborative, forward-thinking team.

If this is you, please complete the application form below and choose "AI Prompt Engineer and Business Analyst" Position

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