Your Applied AI Career Path

GoGloby runs its own targeted outbound sourcing process, engaging only specific, production-proven profiles. Of that highly curated outbound pipeline, only 4% clear the multi-layer assessment. Our process is designed by senior architects to audit your mastery of the Agentic SDLC. We focus on your ability to govern autonomous agents, manage retrieval logic, and maintain high-output code quality inside the client’s own perimeter.

You are not an outsourced contractor. You are a core member of a US-based SaaS team. You integrate directly into their Slack, Jira, and GitHub workflows. You ship production code within their established security perimeter while following the GoGloby Agentic SDLC standards.

Not by hours. Output is measured in the AI Intelligence Layer: cost and return per shipped feature against the team’s own baseline. Technical debt comes down and Agentic SDLC tools handle low-value work, so the time goes into high-complexity architecture and governance.

We look for senior full-stack or backend expertise combined with a deep understanding of ML model orchestration. You must be proficient in managing token economics, designing RAG pipelines, and building predictable agentic workflows that behave reliably under production loads.

While you use Agentic SDLC tools to execute implementation, the human ownership of technical intent remains yours. You are responsible for the architectural integrity and the security of every commit. GoGloby provides the framework, but you provide the engineering judgment.