iSpace, Inc.
United States
Systems Engineer IV – PKI, Secrets Management & Automation
- AWS
- Cloud
- Devops
- GCP
C
AI Summary
Design and deploy production-grade AI systems using agent-based workflows, RAG, and cloud-native architectures. Build evaluation frameworks, implement observability & monitoring, and integrate AI platforms. Develop multi-model abstraction layers and optimize cost/performance.
Key Highlights
Design AI agents and build evaluation frameworks
Implement observability & monitoring for AI systems
Develop multi-model abstraction layers & optimize cost/performance
Key Responsibilities
Design AI agents (RAG, orchestration, tool/function calling, policy routing)
Build evaluation frameworks (accuracy, latency, reliability)
Implement observability & monitoring for AI systems
Integrate AI platforms (OpenAI, Anthropic, Vertex AI, open-source models)
Develop multi-model abstraction layers & optimize cost/performance
Build scalable cloud-native apps (microservices, Docker, Kubernetes, serverless)
Implement CI/CD pipelines & IaC (Terraform, Helm)
Develop backend APIs & integrate with enterprise systems
Test, debug, and optimize AI systems (latency, throughput, cost)
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Technical Skills Required
Benefits & Perks
100% hands-on work
Production-quality delivery
Remote work
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Nice to Have
Agent frameworks (LangGraph, AutoGen, CrewAI)
Multi-agent/distributed AI systems
Enterprise system integration
AI cost & performance optimization
Job Description
Title: Sr. AI Engineering Architect
Position: 12+ months Contract
Location: 100% Remote job
Job Description:
Build and deploy production-grade AI systems using agent-based workflows, RAG, and cloud-native architectures within enterprise environments.
Key Responsibilities:
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