AWS Generative AI Engineer

Job Description: AWS Generative AI Engineer

Work Location: Hyderabad

Key Responsibilities

• Design and implement serverless applications using AWS Lambda.
• Develop and manage ETL pipelines using AWS Lambda/Glue.
• Work with Amazon S3 for data storage, organization, and lifecycle management.
• Build, train, and deploy machine learning models using Amazon SageMaker.
• Integrate and utilize Amazon Bedrock for generative AI applications.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Ensure best practices in cloud architecture, security, and cost optimization.

Required Skills & Experience

• 3+ years of hands-on experience with AWS services, especially Lambda, Glue, S3, SageMaker, and Bedrock.
• Strong programming skills in Python.
• Experience with data engineering, ML workflows, and MLOps practices.
• Familiarity with CI/CD pipelines and infrastructure as code (e.g., CloudFormation, Terraform).
• Excellent problem-solving and communication skills.
• Knowledge of generative AI and Large Language Models (LLMs).

Exercise

Build a Python-based tool that uses a Large Language Model (LLM) to:
1. Ingest a requirement document (e.g., in plain text, Word, or PDF). 2. Generate user stories from the document. 3. Generate test cases based on those user stories.

Deliverables

• Python code (can be in a Jupyter notebook or script format).
• README with setup instructions and explanation of approach.
• Sample output (user stories + test cases).
• Optional: Dockerfile or environment.yml for reproducibility.

Tech Stack

• Python 3.10+
• Claude API, OpenAI API, or Hugging Face Transformers (e.g., Claude, GPT-3.5, LLaMA, Mistral).
• LangChain or other LLM wrappers (optional).
• Advanced prompt engineering for extracting structured outputs.