[Hiring] AI/ML Infrastructure / Systems Engineer @Sapience AI Corporation

Role Description

This role owns how Sapience AI serves intelligence at scale. You build and run the inference infrastructure that turns the models and reasoning behind MINERVA and COGENT into fast, reliable, affordable answers for members.

• You work where models meet production: serving, scaling, latency, and cost.
• Every time a member asks the platform something, your systems are what make the answer arrive quickly and hold up under load.
• You sit close to applied AI, research, and platform engineering, making the difference between a model that works in a notebook and one that serves a community reliably.

Qualifications

• Five or more years in infrastructure, systems, or ML infrastructure engineering.
• Hands-on experience serving ML or LLM models in production at scale.
• Deep understanding of latency, throughput, and performance optimization.
• Experience with GPUs or accelerators and their efficient use.
• Strong systems programming and distributed systems fundamentals.
• A track record of reliable, cost-aware production systems.
• Fluency with observability and operational excellence.

Requirements

• Build and operate the inference systems that serve models and reasoning behind MINERVA and COGENT.
• Drive down latency so members get fast answers, and keep it low as the platform grows.
• Scale inference to more members, more communities, and heavier reasoning without losing reliability.
• Own the economics of inference, including GPU and hardware efficiency at scale.
• Build the paths that take models and reasoning components from research to production safely.
• Instrument the serving layer so it can be measured, debugged, and trusted.
• Make sound choices about accelerators, runtimes, and serving frameworks.

Benefits

• Base Salary: $204,000 - $216,000 + early stage equity.
• Generous health and wellness benefits.

Company Description

Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share.

The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that.

Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves.

Let’s achieve more, together.