SIEM Systems Engineer designing and implementing security measures at MUFG. Collaborating globally on operational security architectures and standards within the engineering team.
About the role
- AI Full-Stack / Systems Engineer building scalable backend services for enterprise AI applications and agent-based workflows. Collaborating with platform and architecture teams on AI infrastructure.
Responsibilities
- Build backend services supporting AI agents and multi-step AI workflows
- Develop LLM integration layers and model service APIs
- Implement RAG pipelines including document ingestion, embeddings, and vector retrieval
- Build orchestration frameworks connecting models, tools, and enterprise APIs
- Implement AI safety controls, guardrails, and policy enforcement
- Develop observability, monitoring, and cost tracking for AI systems
- Integrate AI systems with enterprise platforms and internal services
Requirements
- 5–10 years backend / platform engineering experience
- Hands-on experience building production AI systems
- Strong problem-solving and distributed systems background
- Comfortable working in AWS cloud-native environments
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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