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You will be updated with latest job alerts via email Prompt Engineering:
o Design and write effective prompts for AI models to solve complex realworld 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 crossfunctional 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 AIdriven solutions.
Prompt Engineering Expertise: Demonstrable experience in writing testing and optimizing prompts for AI/ML models.
AWS Proficiency:
o Expertise in AWS Lambda AWS CloudWatch AWS IAM AWS S3 and AWS SES.
o Experience with AWS Bedrock including knowledge base creation agents and chunking strategies.
MongoDB & Vector Search Expertise:
o Proficiency with MongoDB and MongoDB Atlas Vector Search.
o Experience storing embeddings in MongoDB Atlas and querying them effectively.
Programming Skills: Proficiency in Python (preferred) or JavaScript for backend development and automation.
Collaboration Tools: Strong experience with GitHub for version control and team collaboration.
Full Time