Hybrid AI Full-Stack Engineer

Posted 5 hours ago

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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

AI Full-Stack Engineer

Job type

Experience level

SeniorLead

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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