Responsibilities:
- Develop and maintain efficient and scalable prompt enginesor systems for various applications.
- Collaborate with cross-functional teams to understand requirements and integrate prompt solutions into existing systems.
- Design, implement, and optimize algorithms for natural language processing (NLP) and text generation.
- Conduct research on the latest advancements in prompt engineering and integrate relevant technologies into projects.
- Troubleshoot and debug prompt-related issues in production and development environments.
- Ensure prompt engines meet performance, accuracy, and scalability requirements.
- Document prompt engine architecture, design decisions, and implementation details.
- Stay updated on industry trends, best practices, and emerging technologies in prompt engineering.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field.
- Proficiency in programming languages such as Python, Java,or C++.
- Strong understanding of natural language processing (NLP) techniques and algorithms.
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Knowledge of text generation models and techniques, such asGPT (Generative Pre-trained Transformer).
- Familiarity with machine learning libraries and tools fordata preprocessing and model training.
- Excellent problem-solving and analytical skills.
- Effective communication and collaboration skills to work in a team environment.
- Ability to work independently and prioritize tasks effectively in a fast-paced environment.
Educational Qualification
It doesn’t matter where you went to college or what your CGPA was as long as you are smart,passionate, ready to work hard and have fun.
