Solutions - Prompt Engineer - LLM Apps

4 weeks ago

Pune, India Intellify Full time
Job Title: Solutions - Prompt Engineer - LLM Apps

Job Summary:

We are seeking a highly skilled Prompt Engineer to join our team at Intellify. As a Prompt Engineer, you will be responsible for designing and developing prompts for various applications, including text generation, translation, question answering, and creative writing, image generation.

Key Responsibilities:

  • Design and develop prompts for various applications, including text generation, translation, question answering, and creative writing, image generation.
  • Experience in integrating LLMs into applications, platforms, or services.
  • Collaborate with product teams, data scientists, and engineers to understand user needs and translate them into effective prompts.
  • Ensure models are developed with ethical considerations in mind, actively working to identify and mitigate biases.
  • Conduct experiments and benchmarking to assess the performance of various model architectures and optimize hyperparameters.
  • Maintain a meticulous approach to detail and accuracy, ensuring that LLM outputs meet the highest quality standards and adhere to coding guidelines.
  • Design and implement scalable solutions for deploying LLM apps, ensuring efficiency in both computation and resource usage.
  • Stay updated with the latest research and advancements in AI and NLP to continuously improve model performance.
  • Work closely with UX/UI teams to ensure the integration of LLMs enhances the overall user experience.
  • Experience with agile methodologies and the ability to manage projects effectively to deliver on time and within scope.
  • Implement robust security and data privacy measures in all aspects of model development and deployment.
  • Strong communication and teamwork skills to effectively collaborate with diverse teams and stakeholders.

Requirements:

  • 2-3 Years in AI-ML Space.
  • One year in prompt engineering and LLM Apps development.
  • Proficient in Python, TensorFlow, PyTorch, and related libraries for model development and deployment.
  • Experience in LLM Frameworks like LangChain.
  • Experience in fine-tuning LLM models from various sources like OpenAI/Facebook/ Google/Hugging Face etc.
  • Have experience in developing and consuming Vector Embeddings.
  • Have efficiently used context settings in LLM Apps.
  • Basic knowledge of databases focusing on Structured and semi structured data.
  • Github.
  • Have a relevant degree such as Bachelor's and Collage Degree in Computer Science, Information Technology, Information Systems, Software Engineering, Computer Engineering.
  • Good to have Certification in AI.

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