Prompt Engineer, Data Solutions & Initiatives

Apple Inc.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading technology company in Singapore is seeking a hands-on Prompt Engineer. In this role, you will design complex conversational logic and optimize prompts for Generative AI applications. The ideal candidate should have over 4 years of experience in Software Development or data science and strong scripting skills. This opportunity allows you to work in a dynamic team focused on driving innovation through product design and engineering.

Qualifications

• 4+ years of experience in Software Development, ML, and/or data science.
• Proven ability to design and optimize complex prompts for real-world use cases.
• Strong scripting or Python skills for testing and automating iterations.

Responsibilities

• Design, test, and refine complex prompts for enterprise environments.
• Manage multi-turn conversational flows for effective interactions.
• Collaborate with product managers, software engineers, and designers.

Skills

Complex prompt design

ML and data science

Scripting/Python skills

Tools

LLM APIs

Python

Vector databases

Job description

Prompt Engineer, Data Solutions & Initiatives

The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. We work in a startup atmosphere where individuals take ownership and have significant impact on the final product.We are a dynamic team within Apple’s Worldwide Sales organization, Data Solutions & Initiatives—focused on driving innovation through product design, engineering, and portfolio management. In our startup-like environment, we move quickly, experiment boldly, and expect our team to take full ownership of what they deliver. We’re looking for a hands-on Prompt Engineer to design the conversational logic and reasoning patterns that power our Generative AI applications.You will be the architect of our AI's voice and intelligence, crafting the sophisticated prompts, agent personas, and evaluation strategies that make our AI interactions discoverable, trustworthy, and ready to solve real-world business problems. You'll partner closely with software engineers to masterfully leverage the context from our retrieval pipelines, ensuring our AI models are grounded in fact and communicate with clarity.This role is part of our Singapore engineering hub and works closely with our US-based team to deliver reliable, scalable data solutions that fuel decision-making, modeling, and business operations.

Description

- Prompt Design & Optimization: Design, test, and refine complex prompts for enterprise environments, prioritizing accuracy, privacy, fairness, and compliance.- Agent Persona Development: Define and build agent personas, roles, and behavioral guidelines for various domain-specific applications.- Conversational Logic: Manage multi-turn conversational flows, memory handling, and contextual continuity to create natural and effective interactions.- Advanced Pattern Development: Develop and implement few-shot, zero-shot, chain-of-thought, and hybrid prompting patterns to enhance the model's reasoning and context retention.- Evaluation & Quality Assurance: Create and manage prompt evaluation frameworks, tooling, and workflows to systematically monitor and improve output quality, tone, and factual clarity.- Cross-Functional Collaboration: Work closely with product managers, software engineers, and UI designers to seamlessly integrate prompt strategies into production pipelines and user-facing products.

Minimum Qualifications

• 4+ years of experience in Software Development, ML, and/or data science with recent focus on GenAI and LLMs; deep understanding of prompt engineering best practices.
• Proven ability to design and optimize complex prompts (e.g., multi-shot, chain-of-thought) for real-world use cases, demonstrating a deep understanding of best practices for improving factuality, reducing hallucinations, and controlling tone.
• Hands-on experience with LLM APIs, embeddings, vector databases, and RAG workflows.
• Strong scripting or Python skills; ability to run tests, analyze outputs, and automate iterations.

Preferred Qualifications

• Ability to think creatively and analytically about language, logic, and information accuracy.