About the role

Principal AI/ML Data Engineer role defining how production AI systems are measured and improved. Work includes architecting data and evaluation systems at Solink.

Responsibilities

Architect and operate telemetry ingestion and trace systems at production scale
Define dataset versioning and data modeling standards for AI evaluation
Design and enforce evaluation gates that protect model quality in production
Own the reliability, observability, and performance of data and evaluation pipelines
Set platform standards and guide architectural direction across teams

Significant production data engineering experience in AI or ML-driven systems (batch and streaming at scale)
Deep experience with AWS or GCP data infrastructure and distributed systems
Proven ownership of dataset versioning, schema evolution, and data modeling strategy for AI workloads
Experience building and operating evaluation pipelines for LLM/VLM or other AI systems (deterministic and model-graded)
Strong telemetry, tracing, and observability experience for production AI systems
Strong architectural judgment and end-to-end ownership of AI-facing production systems
Ability to move quickly under ambiguity and make principled trade-offs.

Fully paid health & dental (no waiting period) + $500 health spending account for full-time, permanent Solink employees.
Monthly reimbursement for fitness, wellness, or mental health programs for all Solink employees.
Meaningful equity: Every full-time, permanent employee has a stake in our growth.
Advancement is based on contribution, initiative, and the ability to raise the bar.