AWS Generative AI Solutions Engineer

Solution Design Implementation Design and implement endtoend generative AI solutions leveraging services like Amazon Bedrock including Agents Knowledge Bases and Guardrails
Model Development Optimization Finetune and customize large language models LLMs and other generative models GANs VAEs for specific business needs ensuring optimal performance and scalability
Prompt Engineering RAG Apply prompt engineering methodologies and build Retrieval Augmented Generation RAG systems to enhance model accuracy reliability and contextual understanding
Build CICD pipelines to automate the model lifecycle including training deployment monitoring and retraining
Cloud Infrastructure IaC Develop and manage robust cloud infrastructure using Infrastructure as Code IaC tools like AWS CloudFormation AWS CDK or Terraform
Collaboration Documentation Work with product managers to integrate AI capabilities into existing systems and create technical documentation best practices and tutorials
Security Compliance Ensure all AI solutions meet AWS best practices for security compliance scalability and cost optimization
Proficiency in Python is essential along with experience in languages like Java or TypeScript
Handson experience with core AWS services including S3 Lambda EC2 DynamoDB API Gateway Step Functions Glue and Athena
Strong understanding and experienc in orchestration frameworks like LangChain
Technical Concepts Expertise in Generative AI architectures LLMs vector databases statistical methods and data processing
Strong problemsolving analytical and communication skills for working in crossfunctional teams and interacting with customers