Prompt engineering combines creativity and technical expertise to design precise instructions that guide Generative AI models and Large Language Models (LLMs) toward producing exceptional results. As a Prompt Engineer, you will own the complete prompt lifecycle—from initial concept through production deployment. Your responsibilities will include developing production-grade Python code for data processing, managing CI/CD pipelines, and architecting contextual frameworks that enhance AI performance. You'll serve as the critical bridge between human intent and machine understanding, transforming complex requirements into clear, effective prompts that unlock the full potential of next-generation AI systems. This pioneering position offers the opportunity to advance prompt engineering methodologies while continuously discovering innovative approaches to maximize generative AI capabilities. If you're passionate about leveraging AI to address real-world challenges and eager to shape the future of artificial intelligence, we invite you to join us in this rapidly evolving field.
Key job responsibilities
You will design prompts, guiding large language models to generate specific, accurate and exceptional responses.
You will handle the context engineering that is required to deliver best in class prompts
You will be responsible for delivering production ready python codes via CI/CD pipelines that will enable the delivery of best prompts
You will wield the power of words, crafting concise and creative prompts that steer AI towards the desired outcome, fine-tuning results and ensuring accuracy.
You will work closely with Product Leads, Data engineers, Developers, and other creative minds to understand needs and translate them into effective prompts, maximizing the impact of AI solutions.
You will be responsible to Test and assess the effectiveness of both existing and newly developed prompts.
You will be responsible for developing and maintaining a comprehensive library of prompts, ensuring clarity and effectiveness, while fostering best practice sharing.
You will work with cross functional teams to integrate prompt engineering models into production environments.
You will leverage the power of prompt engineering to identify and enhance customer trust by eliminating risks related to counterfeit, infringements, etc.
A day in the life Your day will be dynamic, collaborative and focused on driving innovation and excellence in prompt engineering. You will participate in collaborative meetings with Product and Program Managers and developers across cross function teams to discuss design requirements, brainstorm on ideas and share insights on design approach. You will spend time analyzing data related to prompt effectiveness and model performance. You will create playbooks to document findings, prepare reports and share updates with various stakeholders. You will troubleshoot issues, address real time challenges and implement scalable solutions.
About the team The Trustworthy Shopping Experience (TSE) team strives to guarantee customers a trustworthy shopping and ordering experience so they can shop with confidence on Amazon. We do this by (1) eliminating catalog defects, (2) ensuring listings are compliant with Amazon’s selling policies, (3) helping customers find selling partners that have a good ordering and fulfillment record, (4) ensuring customers receive authentic products in the condition they expect, and (5) in the rare chance the order experience does not meet customer expectations, protecting them by making things right with our A-to-z Guarantee. Our selling partners are also our customers and we work hard to educate and support them to facilitate a positive and friction-free selling partner experience. We design and implement policies, tools and technology innovations to protect the buying experience on Amazon while minimizing friction for sellers.
We are looking for a Prompt Engineer with a passion for Generative AI, Innovation with analytical and communication skills. You will enjoy working with technology, enabling you to leverage your insights to drive automation and develop tools for our Operations teams., thereby, enhancing customer e experience. You will collaborate with Software Engineering, Data Science, Product Management, Program Management and Operations Teams to build a deeper understanding of Operational performance and drive improvements which directly influence Amazon’s bottom-line.
Basic Qualifications
- 3+ years of program or project management experience
- 3+ years of defining and implementing process improvement initiatives using data and metrics experience
- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
Preferred Qualifications
- 3+ years of driving end to end delivery, and communicating results to senior leadership experience
- 3+ years of driving process improvements experience
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience building processes, project management, and schedules
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