- Design, test, and refine prompts to optimize the performance of AI/ML models, especially large language models (LLMs).
- Collaborate with AI teams to understand model behavior and improve response generation.
- Develop and implement prompt engineering strategies for various use cases, including chatbots, virtual assistants, and other AI applications.
- Research and apply prompt engineering best practices to enhance AI model outputs.
- Continuously experiment with different prompt structures to maximize relevance and accuracy.
- Analyze model outputs and use insights to adjust and improve prompts.
- Work closely with data scientists, engineers, and product teams to integrate prompt engineering into product development.
- Keep up to date with advancements in AI/ML, particularly in LLMs, generative AI, and natural language processing (NLP).
- Bachelor's degree in Engineering (BE/B.Tech-CS/IT) or a Master's degree in Computer Applications (MCA) or an equivalent qualification.
- 3 to 5years of experience working with AI/ML models, with a focus on prompt engineering or related areas.
- Strong knowledge of large language models (LLMs) such as GPT, BERT, and other NLP models.
- Proficiency in natural language processing (NLP) and machine learning techniques.
- Experience with prompt design and fine-tuning model responses for AI-powered applications.
- Familiarity with programming languages such as Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
- Strong analytical skills to evaluate model performance and improve prompt effectiveness.
- Creative problem-solving skills and the ability to think critically about model outputs.
- Excellent communication and collaboration skills to work within cross-functional teams.
- This role offers the flexibility of working remotely in India.