Prompt Engineer

1 - 5 years

6.0 - 10.0 Lacs P.A.

Gurgaon

Posted:2 months ago| Platform: Naukri logo

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Skills Required

Computer scienceAnalyticalArtificial IntelligenceMachine learningLinguisticsbusiness rulesNatural language processingdata visualizationTestingPython

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are looking for a Prompt Engineer to craft, optimize, evaluate, and benchmark prompts for enhanced AI performance at Netomi. This role requires expertise in NLP, AI behavior, and customer-specific business rules. You will collaborate with the Customer Success team and data scientists to develop customized, effective AI solutions. Responsibilities Prompt Development: Design and refine client-specific prompts, ensuring accuracy and relevance. Define tool descriptions for agentic frameworks to enhance AI interactions. Optimization Testing: Improve prompts for clarity and performance, automate testing with scripts, and evaluate LLMs for best-fit solutions. Evaluation Benchmarking: Develop evaluation frameworks and benchmark prompts to establish best practices. Collaboration Documentation: Work with Customer Success and Data Science teams, maintaining clear documentation on prompt development and optimization. Research Innovation: Stay updated on NLP advancements, experiment with new prompting strategies, and refine model-specific adaptations. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Linguistics, or a related field. Strong understanding of natural language processing (NLP) and machine learning principles. Experience with AI prompt engineering, including writing, optimizing, and evaluating prompts. Proficiency in programming languages such as Python. Familiarity with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face). Excellent analytical and problem-solving skills. Strong written and verbal communication skills. Ability to work collaboratively in a team environment and manage multiple projects simultaneously. Preferred Qualifications Experience with large language models (e.g., GPT-3, GPT-4, Llama3) and their applications. Knowledge of data visualization tools and techniques. Background in linguistics or computational linguistics. Experience with agile development methodologies.

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