Prompt Engineer- Artificial Intelligence Specialist

1 week ago

Bengaluru, Karnataka, India beBeePrompt Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Summary

We are seeking a skilled Prompt Engineer to join our team. As a Prompt Engineer, you will be responsible for developing, deploying, and maintaining Retrieval Augmented Generation (RAG) models in Amazon Bedrock.

  • Design and implement a RAG model that can generate natural language responses, commands, and actions based on user queries and context, using the Anthropic Claude model as the backbone.
  • Integrate the RAG model with Amazon Bedrock, offering a choice of high-performing foundation models from leading AI companies and Amazon via a single API.
  • Optimize the RAG model for performance, scalability, and reliability, using best practices and robust engineering methodologies.
  • Design, test, and optimize prompts to improve performance, accuracy, and alignment of large language models across diverse use cases.
Key Responsibilities:
  • Experience in programming with at least one software language, such as Java, Python, or C/C++.
  • Experience in working with generative AI tools, models, and frameworks, such as Anthropic, OpenAI, Hugging Face, TensorFlow, PyTorch, or Jupyter.
  • Experience in working with RAG models or similar architectures, such as RAG, Ragna, or Pinecone.
  • Experience in working with Amazon Bedrock or similar platforms, such as AWS Lambda, Amazon SageMaker, or Amazon Comprehend.
  • Able to design, iterate, and optimize prompts for various LLM use cases (e.g., summarization, classification, translation, Q&A, and agent workflows).
  • Familiarity with prompt evaluation strategies, including manual review, automatic metrics, and A/B testing frameworks.
  • Experience building prompt libraries, reusable templates, and structured prompt workflows for scalable GenAI applications.
  • Able to debug and refine prompts to improve accuracy, safety, and alignment with business objectives.
  • Awareness of prompt injection risks and experience implementing mitigation strategies.
About Us

We are a dynamic team committed to driving business transformation through cutting-edge technologies. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

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