Python/Java & AWS Bedrock- AI/ML Engineer

We are looking for an experienced AI/ML Engineer with strong hands-on expertise in AWS Bedrock and either Python or Java. The ideal candidate will have experience building and deploying enterprise-grade Generative AI, LLM, and RAG solutions on AWS. Strong experience integrating foundation models through Amazon Bedrock and developing scalable cloud applications is mandatory.

Roles & Responsibilities:

• Design, develop, and deploy enterprise Generative AI applications using AWS Bedrock and foundation models.
• Develop scalable AI/ML applications using Python or Java, integrating Bedrock with enterprise applications and backend services.
• Build RAG solutions using embeddings, vector databases, document processing, and enterprise knowledge sources.
• Integrate Amazon Bedrock APIs using Boto3 or AWS SDK for Java, including model invocation, request/response processing, error handling, and monitoring.
• Develop REST APIs and microservices using Python frameworks such as FastAPI/Flask or Java frameworks such as Spring Boot.
• Implement prompt engineering, prompt optimization, model selection, and LLM evaluation to improve application performance and response quality.
• Integrate AWS services including S3, Lambda, API Gateway, IAM, ECS/EKS, CloudWatch, and Secrets Manager.
• Implement security, governance, access control, data protection, and responsible AI practices for production GenAI applications.
• Collaborate with Cloud Architects, Data Engineers, DevOps, QA, and business teams to deliver scalable AI solutions.
• Troubleshoot production issues, optimize application performance, and provide technical guidance for AWS Bedrock-based AI solutions.

Mandatory Skills

• AWS Bedrock – Strong hands-on experience is mandatory
• Python or Java – Strong hands-on experience
• Generative AI / LLM
• RAG / Vector Databases
• Prompt Engineering
• AWS Cloud
• REST APIs / Microservices
• Boto3 or AWS SDK for Java