We seek an AI Prompt Engineer with strong analytical skills, excellent reading comprehension, and exceptional attention to detail. You will design, test, and refine prompts for large language models, audit AI-generated outputs for accuracy, and work closely with client teams to ensure AI solutions meet production quality standards.
1. Prompt Engineering and Design
- Design and refine structured prompts for AI models to extract data and generate narrative outputs from complex source documents.
- Identify and diagnose AI failure modes such as fabricated data, incorrect source attribution, and formatting errors, and develop targeted prompt fixes.
- Iterate prompts through structured test-and-audit cycles to meet defined accuracy thresholds.
2. Quality Assurance and Validation
- Audit AI-generated outputs against source documents, verifying data points at the individual figure level.
- Build validation workbooks to track accuracy metrics across test runs.
- Categorize and document errors by type and severity to drive systematic improvement.
3. Client Collaboration
- Work with client subject matter experts to understand workflows, quality expectations, and output conventions.
- Translate domain-specific drafting conventions into structured AI instructions.
- Present validation results and accuracy metrics to internal and client stakeholders.
- Education: Bachelor’s degree in Finance, Accounting, Business, Economics, or a related field.
- Experience: 0 to 2 years including internships, academic projects, or full-time roles.
- Strong analytical and quantitative reasoning with comfort working with numbers, percentages, financial figures, and tabular data.
- Exceptional attention to detail with a natural tendency to validate numbers and verify source accuracy.
- Excellent reading comprehension with the ability to interpret dense, data-heavy documents such as financial reports and regulatory filings.
- Clear, precise, and structured writing skills to create unambiguous AI prompts.
- Proficiency in Excel or Google Sheets for data validation and tracking.
- Patience and discipline for methodical, repetitive quality assurance work.
- Strong logical reasoning to trace AI errors to root causes and implement systematic fixes.
- Provide a detailed resume highlighting relevant academic or industry experience.
- Be prepared to complete a practical assessment involving auditing AI-generated drafts against source documents.
Soothsayer Analytics is a global Artificial Intelligence consulting and product company specializing in end-to-end digital transformation through Artificial Intelligence, Generative AI, and Agentic AI. We partner with organizations to move beyond experimentation and build sustainable, enterprise-wide AI capability by combining strategy, advisory, bespoke solution development, and workforce upskilling.
Our approach focuses on developing digital competency, enabling organizations to identify, scale, and govern AI initiatives aligned with business objectives. Over the past two years, we have also developed AuGENT, our enterprise-grade Generative AI and Agentic AI platform, which has been successfully deployed across multiple clients to accelerate adoption of intelligent automation and decision support use cases.
With a global presence and a strong track record across industries, Soothsayer has delivered measurable business impact for leading enterprises including SABIC, Ford, Owens Corning, US Steel, DHL, and Ministry of Education (KSA), among others.
