AI Prompt Engineering Team Lead

Who We Are

At CloudFactory, we are a mission-driven team passionate about unlocking the disruptive potential of AI for the world. By combining advanced technology with a global network of talented experts, we make unusable data usable and inference reliable and trustworthy, driving real-world business value at scale. 

More than just a workplace, we’re a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do, as we strive to connect one million people to meaningful work and build leaders worth following.

Our Culture

At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:

• Mission-Driven: We focus on creating economic and social impact.
• People-Centric: We care deeply about our team’s growth, well-being, and sense of belonging.
• Innovative: We embrace change and find better ways to do things, together.
• Globally Connected: We foster collaboration between diverse cultures and perspectives.

If you’re ready to earn, learn, serve, and be part of a vibrant global community, CloudFactory is your place!

About the role:

We are seeking an AI Prompt Engineering Team Lead to guide our team of Prompt Evaluation Associates in developing and refining high-impact AI features. In this hands-on leadership role, you'll be responsible for the technical direction of prompt engineering efforts, coaching team members, and ensuring the delivery of high-quality AI solutions. You'll work at the intersection of AI technology and practical implementation, driving innovation while maintaining operational excellence.

What you’ll do:

• Provide technical leadership and guidance to a team of Prompt Evaluation Associates.
• Develop advanced prompt engineering strategies and frameworks to optimize AI performance.
• Create and implement standards for prompt design, testing, and iteration.
• Craft, test, and improve AI prompts for data generation, automated evaluations, and Google production features.
• Review and approve prompts before implementation in production environments.
• Collaborate with product managers and engineering teams to align prompt engineering with product goals.
• Identify opportunities for automation and efficiency improvements in the prompt development process.
• Train and mentor team members on best practices in prompt engineering and LLM optimization.
• Stay current with the latest developments in AI and prompt engineering to maintain competitive advantage.
• Lead the crafting, testing, and improvement of AI prompts for data generation, automated evaluations, and production features.
• Oversee data analysis and contribute to algorithm improvements.
• Guide the team in identifying, diagnosing, and reporting software issues, providing actionable results.
• Ensure team members document configurations and provide detailed explanations for reference.

Requirements

What We’re Looking For:

• Proven experience in AI, machine learning, or related technical fields, with 5+ years in the industry and 3+ years leading teams or providing technical mentorship.

• Strong expertise in prompt engineering for Large Language Models (LLMs) and demonstrated use of generative AI tools (e.g., ChatGPT, Gemini, Claude).

• Advanced proficiency in Python, along with solid experience in data analysis, performance measurement, and contributing to algorithm development.

• Ability to lead by example, offering hands-on technical guidance while fostering a culture of continuous learning and team development.

• Excellent analytical and problem-solving skills, with a methodical, detail-oriented approach while keeping focus on broader objectives.

• Outstanding communication skills, capable of explaining complex technical concepts to both technical and non-technical audiences, and collaborating effectively across cross-functional teams and stakeholders.

• Adaptability to thrive in a fast-paced, evolving environment, with strong attention to detail and a proactive, solution-oriented mindset.

• A genuine passion for AI, machine learning, and emerging technologies.

• Fluency in English (verbal and written) is required.

Desirable Qualifications

• Bachelor’s degree in Computer Science, Data Science, or a related field.

• Experience with localization, classifiers, or search quality rating.

• Familiarity with annotation platforms, QA systems, or similar tooling.

Additional information:

• We are only accepting resumes and applications in English.
• The role is open to candidates based in Mexico City.