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 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.