Advanced Gen AI Developer - Python

Prompt Engineering:

o Design and write effective prompts for AI models to solve complex, real-world problems.

o Refine and optimize prompts to improve output quality using LLMs (Large Language Models) like OpenAI and AWS Bedrock.

AWS Development & Essentials:

o Develop and deploy serverless applications using AWS Lambda, manage permissions using AWS IAM, and monitor using AWS CloudWatch.

o Utilize AWS S3 for scalable storage solutions and AWS SES for email services.

AWS Bedrock Integration:

o Create and manage Knowledge Bases in AWS Bedrock, with expertise in agents and chunking strategies.

o Sync Bedrock Knowledge Base data sources with MongoDB Atlas Vector Search for efficient storage and retrieval of embeddings.

Database Management & Vector Search:

o Work extensively with MongoDB and MongoDB Atlas Vector Search to store and query vector embeddings.

o Develop and optimize data models and storage strategies for embedding queries in MongoDB Atlas.

Backend Development & Scripting:

o Write and maintain efficient, scalable code using Python (preferred) or JavaScript for backend and serverless architecture.

o Implement logic to interact with external APIs, process data, and ensure seamless integration with AWS services.

Collaboration & Version Control:

o Use GitHub for version control, collaboration, and project management.

o Work closely with cross-functional teams to develop and deploy solutions that leverage AI and cloud technologies.

Good to Have Skills:

o Experience with AWS ECS (Elastic Container Service) and AWS ECR (Elastic Container Registry) for managing containerized applications.

o Exposure to OpenAI LLM and AWS Bedrock for implementing AI-driven solutions.