AlphaX · 1 week ago
AI Systems Architect
AlphaX is building systems that learn, adapt, and optimize themselves in production. They are seeking an AI Systems Architect to design and evolve the technical backbone behind large-scale, feedback-driven AI systems, focusing on system design and production-grade intelligence.
Construction
Responsibilities
Architect end-to-end AI systems that operate in production (LLMs, agents, evaluators, optimizers)
Design feedback loops that turn metrics, logs, and human feedback into measurable system improvements
Define evaluation strategies for model quality, cost, latency, and regression prevention
Lead optimization workflows such as prompt evolution, fine-tuning, model routing, distillation, or reinforcement learning
Build or guide infrastructure for observability, experimentation (A/B testing), and automated rollouts
Partner with product and engineering teams to translate real-world problems into scalable AI architectures
Make principled tradeoffs between performance, reliability, cost, and speed
Qualification
Required
Strong systems thinker with experience designing complex, production AI or ML systems
Hands-on experience with LLMs, agents, or ML pipelines beyond simple API usage
Deep understanding of evaluation, experimentation, and optimization in real environments
Comfort working across backend systems, data pipelines, and model interfaces
Ability to reason clearly about failure modes, edge cases, and system incentives
Strong communication skills — you can explain why a system works, not just how
Preferred
Experience with reinforcement learning, model fine-tuning, or distillation
Prior work on open-source infrastructure or widely used internal platforms
Background in distributed systems, compilers, or performance-critical software
Experience designing AI systems used by external customers at scale
Company
AlphaX
AlphaX builds the AI hiring infrastructure that powers modern talent acquisition.
Funding
Current Stage
Early StageCompany data provided by crunchbase