Gen AI Prompt Lead Designer

Gen AI Prompt Lead Designer with Application Integration

We are seeking a passionate GenAI Prompt Lead Designer or Architect 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.

Responsibilities:

• Prompt Development: Design, test, and refine prompts to optimize large language model (LLM) performance (e.g., GPT-4, BERT). Tailor prompts for specific applications like customer support, content generation, or virtual assistants.
• AI Integration & Automation: Integrate AI services (Azure, AWS, Google Cloud, OpenAI) into existing systems to streamline workflows and automate processes.
• Research & Innovation: Stay informed on the latest advancements in NLP and LLMs. Experiment with new methodologies, share insights, and propose innovative approaches to enhance AI capabilities.
• Use Case Development: Work with stakeholders to develop prompts and AI models that meet business goals and user needs.
• Lead AI Initiatives: Architect and develop large-scale AI models for natural language understanding, text generation, and creative content generation.
• Process Automation & Collaboration: Define automation needs, troubleshoot issues, and implement intelligent automation using RPA tools (UiPath, Automation Anywhere).

Requirements:

• Bachelors or Masters in Computer Science, Computational Linguistics, Data Science, or a related field.
• 3+ years of experience in NLP, machine learning, or AI-related roles. Overall 12+ years of experience.
• Experience with large language models (e.g., GPT-3, GPT-4, BERT) and prompt engineering.
• Experience in API integration and application development
• Familiarity with cloud platforms (Azure, AWS, Google Cloud) and machine learning frameworks (TensorFlow, PyTorch).
• Familiarity with RPA tools (UiPath, Automation Anywhere) is a plus.
• Strong problem-solving and analytical skills, with the ability to work collaboratively in cross-functional teams.