layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Staff AI Product Engineer at Nscale | LAYIQ

8–12 years of software engineering experience
Proven ability to set technical direction for a product domain, including cross-team architectural patterns
Deep expertise in API design, platform engineering, and large-scale distributed systems
Experience designing cloud services with clear control plane / data plane separation and cell-based architecture for horizontal scalability and blast-radius isolation
Experience building and operating developer-facing platforms used by large numbers of engineers or customers
Proven ability to define the provisioning contract other teams onboard onto: typed inputs, readiness semantics, published outputs, and declared dependencies between provisioned services
Experience with dependency-ordered composition across services owned by different teams — readiness gating, eventual consistency, and deciding what may be provisioned in parallel
Track record of setting versioning and compatibility policy for customer-facing configuration surfaces, and of sequencing change across the schema, controller, packaging, and deployment layers that must land in order
Sustained hands-on production ownership at scale — has carried on-call for systems they designed and fed that operational experience back into the architecture
Track record of raising stability across a domain: SLO and error-budget policy, incident review that produces systemic fixes, and reliability tracked as a measurable trend rather than per-incident firefighting
Experience making cost a first-class engineering signal: usage attribution, cost-per-unit visibility, and guardrails that keep spend predictable as the platform scales
Strong ability to resolve ambiguous, open-ended technical problems at system scope
Demonstrated ability to influence without formal authority — across teams, disciplines, and seniority levels
Track record of creating durable technical standards and practices adopted across an organization
Preferred
Experience designing SDK and Terraform provider strategies that enable customers to extend and automate the platform
Track record of building extensible platform layers: plugin systems, API versioning strategies, client library design
Experience building AI/ML product platforms: inference APIs, fine-tuning UX, model management, evaluation tooling
Experience building self-service, paved-path onboarding so teams can ship new deployable units without platform-team involvement
Background in GPU cloud or compute platforms serving ML workloads; experience operating platforms with strict SLAs at scale
The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation.

Staff AI Product Engineer

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