Job Title

We are seeking an AI Engineer to join our AI Metadata Augmentation team.Exp – 4-6 Years Location: Pune In this role, you will leverage Large Language Models (LLMs) and AI Agents on AWS to automate the enhancement of metadata for various dataset types.The ideal candidate has a background in Data Science, Data Engineering, or Software Engineering and is eager to build scalable AI solutions in the cloud. Key Responsibilities* AI Agent Development: Design and deploy AI Agents and LLM-based workflows on AWS to automatically generate, correct, and augment metadata.* Solution Testing & Verification: Implement testing frameworks to validate AI performance. You will actively audit and verify the AI agent's output to ensure data accuracy and reliability* Data Handling: Write efficient Python scripts to parse, manipulate, and restructure complex data (specifically JSON) for model consumption and storage.* Cloud Engineering: Utilise AWS services to build secure environments; manage permissions (IAM) and configure necessary cloud resources.* Infrastructure as Code: Provision and manage infrastructure using IaC to ensure reproducible and scalable deployments. Qualifications & SkillsBackground & Experience* Previous experience as a Data Scientist, Data Engineer, or Software Engineer.* Good understanding of AI and ML concepts.* AWS AI Expertise: Proven professional experience or hands-on training with Generative AI on AWS (specifically LLMs and AI Agents).Technical Requirements* Python: Intermediate to Advanced proficiency. You should be comfortable writing clean, production-ready code.* AWS Fundamentals: Solid understanding of the AWS ecosystem.* Infrastructure as Code (IaC): Basic ability to provision infrastructure via code (using tools like CloudFormation, CDK, or Terraform).* Data Formats: Strong capability in working with and manipulating JSON data structures.Nice to Have* Experience with AWS Bedrock or SageMaker.* Knowledge of vector databases and RAG (Retrieval-Augmented Generation) architectures