AI Infrastructure & LLM Inference Engineer

Nexera is an AI-native consulting firm that builds intelligent, custom solutions for organizations navigating the age of AI. The AI Infrastructure & LLM Inference Engineer will build, deploy, optimize, and operate secure production platforms for self-hosted language and multimodal model inference across on-premises, private-cloud, hybrid, and restricted-network environments. The role also includes reliability engineering, automation, observability, client collaboration, and knowledge transfer.

Responsibilities:

• Design and Deploy AI Infrastructure: Build and configure secure, production-ready platforms for running large language models and other AI workloads across on-premises, private-cloud, hybrid, and restricted-network architectures
• Operate Model-Serving Platforms: Deploy, configure, qualify, and maintain models, inference runtimes, gateways, and supporting services throughout their operational lifecycle
• Optimize Performance and Capacity: Measure and improve latency, throughput, concurrency, resource utilization, and model placement using repeatable benchmarks and real workload evidence
• Build for Reliability and Security: Implement monitoring, alerting, access controls, auditability, incident response, recovery procedures, and secure software and model lifecycle practices
• Automate Platform Delivery: Use infrastructure-as-code, configuration management, testing, and release automation to make deployments, upgrades, scaling, and rollback repeatable and boring
• Partner and Transfer Knowledge: Work directly with client and application teams, communicate technical tradeoffs, document decisions and operating procedures, and leave engineers genuinely able to run and extend the platform
• Innovate How We Work: Experiment with and define the agentic workflows, automation, and tooling that improve how Nexera builds and operates AI platforms. Your patterns become part of our operating model