AI Engineer | Java & AWS Bedrock, SageMaker & RAG
INR 2500K-4580K (estimate) Senior-level Full Time
Tasks
- Architect AI enabled Java services
- Build RAG data pipelines and embeddings
- Develop AI enabled features in Java Spring Boot
- Develop vector search with OpenSearch or Aurora PostgreSQL pgvector
- Implement vector retrieval mechanisms
- Integrate with AWS Bedrock SageMaker and Lambda
- Integrate with enterprise tools via MCP
- Maintain graph workflows with Amazon Neptune
- Monitor deployments and troubleshoot production issues
- Orchestrate workflows with Step Functions
- Perform code reviews, testing, and documentation
Perks/Benefits
Skills/Tech-stack
API Gateway | AWS Bedrock | AWS Lambda | AWS Secrets | AWS Secrets Manager | AWS Step Functions | Access Control | Agile | Amazon API | Amazon API Gateway | Amazon ECS | Amazon ECS Fargate | Amazon EventBridge | Amazon IAM | Amazon Neptune | Amazon S3 | Amazon SageMaker | Angular | CI/CD | Chunking | Data Pipelines | ECS Fargate | Embeddings | Git | Graph Databases | Hibernate | IAM Access Control | JPA | JUnit | Java | Microservices | Mockito | Model Deployment | OpenSearch | PGVector | PostgreSQL | Python | RAG | RESTful APIs | Scrum | Secrets Manager | Secure Coding | Spring Boot | Step Functions | Vector Databases | Vector Search
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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