Role Type: Hybrid (60% Client Project Management | 40% Student Mentorship)

Experience Level: Mid-to-Senior level in Generative AI

Job Overview:

We are looking for a highly technical Lead AI Prompt Engineer to join our team in Sargodha. This role is designed for a visionary professional who can bridge the gap between complex AI development and educational leadership. You will be responsible for leading high-level projects using global standards (Google Cloud Vertex AI) while training the next generation of Pakistani students to build world-class AI solutions.

1. Key Responsibilities

Project Management & Execution (60%):

• Prompt Architecture: Design and optimize complex prompts using Vertex AI to ensure accurate, context-aware outputs.
• Multi-Turn Dialogue: Develop advanced conversational AI systems with robust context retention and memory management.
• Hallucination Control: Implement systematic testing to mitigate bias and prevent model hallucinations.
• Cloud Integration: Connect AI workflows with Google Cloud Storage and Apigee/REST APIs for end-to-end production pipelines.
• Cost Efficiency: Optimize prompt query complexity to reduce token consumption and resource costs.

Student Training & Curriculum Development (40%):

• Skill Transfer: Educate students on advanced techniques like Chain-of-Thought (CoT), Few-Shot Prompting, and Tree-of-Thoughts.
• Practical Workshops: Lead students through building end-to-end pipelines that connect LLMs to databases.
• Multilingual Training: Guide students in customizing AI for local (Urdu/Punjabi) and international (English/Arabic) cultural contexts.

2. Core Technical Skills (Must-Haves)

• Vertex AI Mastery: Proven experience in model tuning, prompt management, and deployment on Google Cloud Platform (GCP).
• API & Integration: Proficiency in Apigee or Postman for integrating LLMs into web and mobile applications.
• Prompt Management: Experience using version-control tools like LangSmith, PromptLayer, or Weights & Biases.
• Ethical AI: Strong understanding of "Prompt Injection" prevention and AI security protocols.
• Visual Workflows: Ability to work with ComfyUI or Stable Diffusion for image-based AI projects.

3. Application Requirements (CV & Portfolio)

To be shortlisted, candidates must provide:

A. Detailed Project Portfolio:

Please document three projects you have completed, highlighting:

• Technical Stack: Mention specific LLMs (GPT-4, Claude, Llama 3) and cloud tools used.
• Logic Strategy: Explain your use of CoT or Few-Shot prompting in these projects.
• Measurable Impact: Describe how you optimized the model for cost or accuracy.

B. Resume (CV):

• Evidence of experience with Google Cloud Platform (GCP) and Vertex AI.
• Previous experience in a "Lead" or "Training" capacity (e.g., managing a dev team or teaching a bootcamp).
• Educational background in Computer Science or Artificial Intelligence (Preferred: University of Sargodha or similar reputable institutions).

4. Interview Performance Metrics

During the interview, be prepared to demonstrate:

• Live Prompting: Fixing a "hallucinating" prompt in real-time.
• Integration Logic: Explaining how to connect an LLM to a cloud database via API.
• Training Capability: Presenting a 4-week sample syllabus for students learning Prompt Engineering.

How to Apply

If you are an AI expert based in or willing to work on-site in Sargodha, please send your CV and Portfolio to [email protected].