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
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