Description

Design, implement, and maintain prompt systems integrated within software applications to improve user interactions and system intelligence.

Responsibilities

• Design and develop prompt systems and NLP algorithms for intelligent generation.
• Optimize prompt infrastructure for performance, scalability, and reliability.
• Test and debug prompt functionalities to ensure accuracy and quality.
• Collaborate with cross-functional teams to define system specifications.
• Provide technical guidance and mentorship to junior engineers.

Required Skills

• 8+ years of experience in software engineering with a focus on NLP and machine learning.
• Proficiency in Python, Java, or C++.
• Deep understanding of NLP techniques including text classification, sentiment analysis, and entity recognition.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Solid understanding of software development methodologies and best practices.
• Bachelor's degree in Computer Science.

Preferred Skills

• Master's or PhD in Computer Science or Engineering.
• Experience with cloud platforms including AWS, Azure, or Google Cloud.
• Familiarity with deep learning architectures and conversational AI systems.

Key Skills

Education

Bachelor's degree in Computer Science