Prompt Engineer
About Us
At CAFU, we’re shaping the future of connected mobility. Starting as an on demand fuel delivery app, we’ve expanded our services to include car washes, tire changes, battery replacements, and insurance. Our mission is to become a global super app, offering a range of products and services that go beyond fuel and mobility, serving both consumers and businesses. We are passionate about sustainability and using technology to positively impact the communities we serve.
CAFU is the UAE’s leading digital platform for vehicle services. Our on demand services save customers time and money, redefining how they interact with their vehicles. As we continue to grow, we are looking for the best minds to help us move faster and smarter, delivering innovation and convenience at scale.
AI Philosophy
We are committed to advancing AI systems to enhance the experience of both our employees and customers, while establishing ourselves as thought leaders in the AI domain. AI is already transforming the world, and we leverage its power to rapidly increase the speed and quality of our operations. Through AI, we deliver high quality solutions across CAFU’s product portfolio, and we’re looking to add talented, innovative minds to our team to scale quickly and deliver tremendous value to our customers at a rapid pace.
We are seeking a passionate Prompt Engineer with a strong engineering background. The ideal candidate thrives in a self-managed team, embraces challenges, and takes an active role in building automated solutions across multiple AI platforms (Azure, OpenAI, AWS, Google Cloud, open-source tools).
Responsibilities
Prompt Development:
- Design, test, and optimize prompts to enhance the performance of large language models (LLMs) like GPT-4 and BERT.
- Tailor prompts for diverse applications such as customer support, content generation, virtual assistants, and other domain-specific use cases.
- Continuously evaluate prompt effectiveness through qualitative feedback and quantitative metrics, refining for edge cases and ambiguous queries.
Process Automation & Workflow Optimization:
- Develop and implement end-to-end automation workflows using tools like UiPath, LangGraph, and CrewAI.
- Identify and analyze repetitive and manual tasks to propose and execute intelligent automation opportunities.
AI Integration & Automation:
- Integrate AI services (Azure, AWS, Google Cloud, OpenAI) into business systems to automate processes and enhance productivity.
- Deploy scalable AI solutions in cloud or hybrid environments, ensuring high availability, performance, and security.
Use Case Development:
- Partner with stakeholders across departments to identify business needs and define use cases for AI-driven solutions.
- Design and implement AI models and workflows that align with strategic goals and deliver measurable value.
Requirements
· Bachelor’s or Master’s in Computer Science, Computational Linguistics, Data Science, or related field
· Proficiency in designing and optimizing prompts for LLMs (e.g., GPT-4, BERT)
· Proficiency in Python or NodeJS and familiarity with NLP libraries (Hugging Face, spaCy).
· 3+ years of experience in NLP, machine learning, or AI-related roles.
· Familiarity with cloud platforms (Azure, AWS, Google Cloud) and machine learning frameworks (TensorFlow, PyTorch).
· Strong problem-solving and analytical skills, with the ability to work collaboratively in cross-functional teams.
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