Prompt Engineer - GEN AI at Prodapt
Posted on (3 months ago)
Chennai, India
On-site
Industry: Media and Telecommunications
Job Type: Full-time
Experience Level: Entry Level
Job Description
The overall purpose of the GenAI Prompt Engineer position is to develop and optimize high-quality prompts for NLP applications. Collaborate with data scientists, machine learning engineers, and software developers to understand requirements and design effective prompt generation solutions.
Responsibilities
- Conduct research and analyze state-of-the-art AI techniques to improve prompt generation models and algorithms.
- Implement and deploy AI models and algorithms in production environments, ensuring scalability, reliability, and performance.
- Collaborate with cross-functional teams to integrate prompt generation capabilities into existing NLP applications.
- Conduct experiments, analyze data, and provide insights to improve the performance and effectiveness of prompt generation models.
- Stay up-to-date with the latest advancements in AI and NLP research and apply relevant techniques to enhance prompt generation capabilities.
- Collaborate with stakeholders to gather requirements and translate them into technical specifications.
- Troubleshoot and debug issues related to prompt generation models and algorithms.
- Document and communicate research findings, methodologies, and technical specifications to team members and stakeholders.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Master's or Ph.D. degree in AI, NLP, or a related field is preferred.
- Proven experience in AI and NLP, preferably in prompt generation or related areas.
- Strong programming skills in languages such as Python or Java.
- Experience with AI frameworks such as TensorFlow, PyTorch, or Keras.
- Familiarity with cloud platforms such as AWS, GCP, or Azure.
- Knowledge of software development methodologies and best practices.
- Experience with version control systems such as Git.
- Strong problem-solving and analytical skills, with the ability to think critically and creatively.
- Excellent written and verbal communication skills.
- Ability to work independently and as part of a team, with a strong sense of responsibility and accountability.
- Strong proficiency in AI and NLP techniques, including deep learning, neural networks, and natural language processing.
- Solid understanding of machine learning algorithms and their applications in NLP.
- Proficiency in data analysis, statistical modeling, and experimental design.
- Familiarity with prompt generation techniques and algorithms.
- Ability to work collaboratively in a team environment.
- Excellent communication and presentation skills.
- Ability to multitask and prioritize workload effectively.
- Strong attention to detail and a commitment to producing high-quality work.