Senior AI Engineering Architect

ClifyX • United State
Remote
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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)
Technical Skills Required
Python Java APIs Microservices Containers Serverless CI/CD Infrastructure as Code Monitoring & Observability OpenAI Anthropic Vertex AI Docker Kubernetes
Benefits & Perks
100% hands-on work
Production-quality delivery
Remote work
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:

  • 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)


Required Skills:

  • 8–10+ years in software engineering
  • Strong cloud-native experience (APIs, microservices, containers, serverless)
  • Hands-on AI/LLM systems (agents, RAG, orchestration)
  • Programming: Python / Java
  • CI/CD, Infrastructure as Code, monitoring & observability
  • Experience with AI platforms (OpenAI, Claude, Vertex AI)


Preferred:

  • Agent frameworks (LangGraph, AutoGen, CrewAI)
  • Multi-agent/distributed AI systems
  • Enterprise system integration
  • AI cost & performance optimization


Expectations:

  • 100% hands-on (no management)
  • Production-quality delivery
  • Work within existing architecture
  • Collaborate with engineering teams
  • Participate in implementation-focused design discussions


Regards

Mohd Faisal

908-279-1281

faisal@clifyx.com


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