Senior Engineer, Platform Services (AI)

Location: HQ - Atlanta, Georgia, United States

Company

hirify.global provides a cloud-based supply chain platform combining commerce-enablement technology with fulfillment, warehousing, transportation, and operator-built software.

What you will do

• Build shared platform services that unify capabilities across hirify.global's product suite and acquired codebases.
• Develop MCP integrations, shared skill libraries, test harnesses, linters, pre-commit hooks, and automated feedback loops for agent-ready development.
• Create developer tooling, golden paths, and scaffolding that improve the internal engineering experience.
• Enable product teams to integrate with shared infrastructure reliably and collaborate with SRE on service reliability.
• Evaluate agentic development tools, define engineering patterns, and measure improvements in organizational productivity.

Requirements

• Meaningful experience at the infrastructure or platform layer with strong engineering fundamentals.
• Practical experience using agentic development in production-adjacent workflows, including maintaining repository guidance such as CLAUDE.md or an equivalent.
• High-agency approach with the ability to define problems, work without a detailed backlog, and own outcomes end to end.
• CLI-native development workflow using Claude Code, Cursor, Codex, or an equivalent tool is required.
• Strong communication, collaboration, production mindset, ownership, and learning agility.
• Ability to use AI-assisted development while maintaining quality and technical judgment.

Nice to have

• Experience with logistics, supply chain, operations software, or commerce domains.
• Familiarity with Elixir/Phoenix, TypeScript, Kafka, GCP, Temporal, Prefect, or Airflow.
• Experience building internal developer platforms, event-driven systems, authentication and authorization systems, or Terraform infrastructure.
• Open-source contributions, participation in agentic developer communities, or experience integrating acquired systems.

Culture & Benefits

• High autonomy with direct visibility into engineering and product leadership.
• Ownership of a newly established platform function with organization-wide impact.
• Organizational support and visibility for company-level AI investment.
• Meaningful equity and the opportunity to shape shared engineering infrastructure.

Hiring process

• Success is evaluated through early delivery, measurable improvements to engineering workflows, and the adoption of platform infrastructure.