GenAI Engineer

JOB DESCRIPTION: • 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 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