Prompt Engineering - Remote - 12 Months

Job Title: Prompt Engineering

Location: Remote

Job Type: Contract

Job Description:

Position Overview: We are seeking a skilled Prompt Engineer to join our team. The Prompt Engineer will be responsible for designing implementing and maintaining prompt systems within our software applications. This role requires a strong understanding of natural language processing (NLP) machine learning and software engineering principles.

Responsibilities:

• Design and develop prompt systems to enhance user interactions within our software applications.
• Collaborate with crossfunctional teams to gather requirements and define prompt system specifications.
• Implement NLP algorithms and machine learning models to enable intelligent prompt generation and response.
• Optimize prompt systems for performance scalability and reliability.
• Conduct thorough testing and debugging of prompt functionalities to ensure quality and accuracy.
• Stay uptodate with the latest advancements in NLP machine learning and software engineering fields.
• Provide technical guidance and mentorship to junior engineers.

Qualifications:

• Bachelors degree in Computer Science Engineering or related field. Masters degree preferred.
• Proven experience in software engineering with a focus on NLP and machine learning applications.
• Strong proficiency in programming languages such as 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 scikitlearn.
• Solid understanding of software development methodologies and best practices.
• Excellent problemsolving skills and attention to detail.
• Strong communication and collaboration abilities.
• Ability to thrive in a fastpaced dynamic environment.

Preferred Qualifications:

• Advanced degree (Masters or PhD) in Computer Science Engineering or related field.
• Experience with cloud computing platforms such as AWS Azure or Google Cloud.
• Familiarity with deep learning architectures and techniques.
• Previous experience in designing and implementing conversational AI systems.
• Contributions to opensource NLP or machine learning projects.