Technologies

Python, NLP, Machine Learning, Deep Learning, LLMs, OpenAI API, LangChain, Prompt Engineering AWS, Azure, GCP

Responsibilities

Design, develop, and refine AI-generated text prompts for various applications.
Collaborate with content creators, product teams, and data scientists to ensure prompt alignment with company goals and user needs.
Monitor and analyse prompt performance to identify areas for improvement.
Optimise the AI prompt generation process to enhance overall system performance.
Stay up-to-date on the latest advancements in AI, natural language processing, and machine learning.
Provide support to content and product teams in understanding prompt engineering best practices.
Draft and distribute reports on prompt performance and development progress.

Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. Master’s degree preferred.
2-5 years of experience in AI development, specifically with a strong background in generative AI models and natural language processing.
Proficient in Python, with experience integrating AI technologies into existing Python applications.
Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Azure OpenAI) suitable for C# environments.
Demonstrable experience in developing and deploying AI solutions for document analysis and processing.
Familiarity with cloud services (AWS, Azure, Google Cloud) used for deploying AI solutions.
Solid understanding of data structures, data modelling, and software architecture.
Ability to work in a fast-paced, team-oriented environment.
Expertise in designing and implementing pluggable architecture using reflection, dependency injection frameworks, or modular frameworks (e.g., MEF, Autofac) for scalable and extensible software solutions.