Prompt Engineer - Artificial Intelligence/Machine Learning

Responsibilities :

- Design, develop, and optimize prompts for a variety of large language models (LLMs) to achieve desired outputs and improve performance.

- Apply advanced prompt engineering techniques, including contextual learning, in-context learning, and instruction tuning, to enhance model capabilities.

- Experiment with different prompting strategies to elicit specific behaviors and responses from LLMs.

- Fine-tune and evaluate the performance of LLMs based on different prompt designs and iterations.

- Work extensively with LLM APIs such as OpenAI, Anthropic, or similar platforms.

- Utilize Python and NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK) for prompt manipulation, data processing, and model interaction.

- Design and execute experiments to evaluate the effectiveness of different prompt engineering approaches

and analyze the results.

- Collaborate closely with cross-functional teams, including AI researchers, machine learning engineers, and product managers, to understand requirements and integrate optimized prompts into applications.

- Stay up-to-date with the latest research and advancements in prompt engineering and large language models.

- Document prompt engineering strategies, experiments, and results clearly and concisely.

- Contribute to the development of best practices and guidelines for prompt engineering within the organization.

Requirements :

- Mandatory : PhD in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), or a closely related field.

- 3-5 years of practical experience in prompt engineering, working with large language models.

- Strong theoretical and practical understanding of large language models, their architectures, and training methodologies.

- Proven expertise in prompt crafting, contextual learning, and instruction tuning techniques.

- Hands-on experience working with LLM APIs such as OpenAI, Anthropic, or similar.

- Proficiency in Python programming.

- Familiarity with NLP libraries such as Hugging Face Transformers, spaCy, and NLTK.

- Strong analytical skills with experience in designing and conducting experiments for AI model evaluation.

- Ability to work effectively in a fast-paced environment and contribute to cross-functional teams.

- Excellent communication and collaboration skills.

Notice Period : Candidates with a notice period of 0-30 days only will be considered