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 cross-functional 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 up-to-date with the latest advancements in NLP, machine learning, and software engineering fields.
Provide technical guidance and mentorship to junior engineers.

Qualifications

Bachelor’s degree in Computer Science, Engineering, or related field. Master’s 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 scikit-learn.
Solid understanding of software development methodologies and best practices.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration abilities.
Ability to thrive in a fast-paced, dynamic environment.

Preferred Qualifications

Advanced degree (Master’s 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 open-source NLP or machine learning projects.

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