FullStack AI Engineer

"Solution Design Implementation Design and implement end to end 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 CI CD 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 Cloud Formation 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 experience in orchestration frameworks like LangChain

Technical Concepts Expertise in Generative AI architectures LLMs vector databases statistical methods and data processing

Strong problem solving analytical and communication skills for working in cross functional teams and interacting with customers"