AI Engineer: Shape Scalable AI & Vector DBs (Stock Options)

Retail Solutions Group; Clovis (NM); On-site; USD 47,000 - 73,000; Full time

Benefits offered by this job

Stock options

Learning budgets

Weekly one‑on‑one coaching

Job summary

Retail Solutions Group is hiring an AI Engineer to design, build, and ship software that serves millions of users daily. The role emphasizes ownership of core components, from data visualization standards to secure authentication and compliance guardrails in BigQuery.

The successful candidate will lead Vector Databases releases, translate business needs into concrete specs, and prototype POC solutions for evolving tech requirements, while benefiting from a contract arrangement and stock options.

Qualifications

• Proven leadership experience guiding junior‑level initiatives.
• Growth mindset and receptiveness to feedback.
• Ability to prioritize under urgent labeling of tasks.
• Authorized to work in the United States without sponsorship.

Responsibilities

• Set the Seaborn coding standards the rest of Retail Solutions Group engineering follows.
• Implement secure authentication and authorization flows using Seaborn.
• Translate technology compliance rules into BigQuery guardrails baked into the build.
• Own the Vector Databases release that Clovis leadership has circled on the calendar.
• Trace a technology number back through Feature Engineering services until it finally adds up.
• Translate Vector Databases metrics into the one chart Retail Solutions Group leadership checks each morning.
• Translate growth‑mindset business requirements into technical specifications and tasks.
• Prototype proof‑of‑concept solutions for emerging technology requirements.

Skills

Leadership experience

Growth mindset

Prioritization

Accountability

US work eligibility

Tools

Seaborn

BigQuery

Vector Databases

Job description

Retail Solutions Group is hiring an AI Engineer to design, build, and ship software that serves millions of users daily. The role emphasizes ownership of core components, from data visualization standards to secure authentication and compliance guardrails in BigQuery.

The successful candidate will lead Vector Databases releases, translate business needs into concrete specs, and prototype POC solutions for evolving tech requirements, while benefiting from a contract arrangement and stock options.