Rearc

AI Engineer

• Design and implement AI agents, including RAG pipelines, orchestration workflows, and tool invocation
• Build evaluation frameworks measuring accuracy, latency, cost, and reliability
• Implement observability and monitoring across the AI system lifecycle
• Integrate multiple AI providers and develop abstraction layers for multi-model architectures
• Optimize AI systems for performance, cost, and scalability
• Build and deploy AI-powered applications integrated with business workflows
• Integrate AI systems into enterprise platforms and APIs
• Debug and optimize live production systems
• Collaborate with client and internal engineering teams
• Participate in implementation-focused technical design discussions

Explore Senior AI Engineer at Rearc. Review requirements and application details.

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Senior AI Engineer