AI Engineer | Java & AWS Bedrock, SageMaker & RAG
Core
Design, build, and operationalize AI-powered solutions integrating Java/Spring Boot backends with AWS services to deliver scalable, secure, business-ready applications.
Role type
Senior AI Engineer (Java & AWS)
Builds
Production-grade AI services, RAG architectures, data pipelines, and enterprise integrations
Domain
Cloud-native AI/ML, Enterprise Software, RAG
Deliverable
production ML models | product features
Required skills
Java, Spring Boot, AWS Bedrock, RAG architecture, Vector databases (OpenSearch/pgvector), Graph databases (Neptune), AWS Step Functions, MCP tool integrations, Cloud infrastructure (ECS, Lambda, API Gateway)
Preferred skills
Python, Data engineering pipelines, Model deployment automation, Cost optimization, Multi-region deployment strategies
Technologies
AWS Bedrock, SageMaker, Lambda, Step Functions, ECS Fargate, EventBridge, API Gateway, IAM, Secrets Manager, S3, OpenSearch, Aurora PostgreSQL, Amazon Neptune, Angular, Jira, ServiceNow, qTest
Responsibilities
Architect and develop AI-enabled Java applications; Design robust data and AI pipelines for RAG; Integrate with enterprise tools (MCP); Collaborate with cross-functional teams; Perform code reviews and performance tuning; Advocate for secure, scalable cloud solutions
Seniority
Senior, hands-on IC
