Principle Developer - ML/Prompt Engineer
Technologies: Amazon Bedrock, RAG Models, Java, Python, C or C++, AWS Lambda,

Responsibilities:
Responsible for developing, deploying, and maintaining a Retrieval Augmented Generation (RAG) model in Amazon Bedrock, our cloud-based platform for building and scaling generative AI applications.
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, our platform that offers a choice of high-performing foundation models from leading AI companies and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.
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.




Develop and maintain reusable prompt templates, chains, and libraries to support scalable and consistent GenAI applications.

Skills/Qualifications:
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.
Ability to design, iterate, and optimize prompts for various LLM use cases (e.g., summarization, classification, translation, Q&A;, and agent workflows).
Deep understanding of prompt engineering techniques (zero-shot, few-shot, chain-of-thought, etc.) and their effect on model behavior.
Familiarity with prompt eval

📌 Principle Developer (Bengaluru)
🏢 Shashwath Solution
📍 Bengaluru