Job Description
Design develop and deploy Generative AI applications using AWS Bedrock Claude Titan Llama etc
Build end to end AI pipelines including prompt engineering RAG Retrieval Augmented Generation fine tuning and inference optimization
Integrate Bedrock models with AWS services such as Lambda API Gateway S3 DynamoDB OpenSearch and Step Functions
Implement scalable secure and cost optimized AI architectures on AWS
Develop and maintain vector databases and embeddings for semantic search and knowledge retrieval
Monitor model performance latency and cost apply optimization strategies
Ensure data privacy security and compliance when handling sensitive data
Collaborate with product managers backend engineers and data scientists to translate business requirements into AI driven solutions
Stay current with advancements in generative AI LLMs and AWS AIML services
Required Skills Qualifications
4 to 6 years of experience in AIML engineering or cloud based ML solutions
Strong hands on experience with AWS Bedrock and foundation models
Proficiency In Python Primary With Experience In MLAI Frameworks
Solid understanding of LLMs prompt engineering embeddings and RAG patterns
Experience with AWS services S3 Lambda IAM CloudWatch API Gateway OpenSearch
Knowledge of REST APIs microservices and cloud native design patterns
Experience deploying ML models in production environments
Strong problem solving skills and ability to work independently
