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AI Systems Engineer

2 months, 2 weeks ago
United States
Full-time
Lead
AI Engineer
Software Development
AWS Celery Docker ERP FastAPI Figma Gin GitFlow JWT Microservices Neo4j OpenID Connect Playwright PostgreSQL Python React SAP ABAP Serverless SQLAlchemy Terraform TypeScript UI Design UX Design WAF
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Vinmar International

Vinmar International

Vinmar International is a global marketing and distribution firm specializing in providing high-quality products and customized business solutions to the leading producers and users of plastics and chemicals, leveraging over 40 years of industry experi...

Chemicals
251-1K
Founded 1978
View All Jobs 5

Description

  • Own the platform end to end across multiple applications, shared SDKs, frontend, backend, data, and infrastructure.
  • Stand up new infrastructure, cloud environments, tenants, connectors, data syncs, and migrations from scratch and verify they work in production-like conditions.
  • Direct parallel AI coding agents across multiple repositories, decompose work into isolated tasks, and reconcile results through adversarial review.
  • Integrate deeply with SAP/ERP systems using RFC/BAPI, including business-rule reverse engineering, master-data flows, and idempotent event sync.
  • Design and maintain multi-tenant data architecture using PostgreSQL row-level security, JSONB extensibility, and careful migration practices.
  • Ship coordinated changes across multiple repositories while keeping CI green, deployments successful, and the overall architecture coherent.
  • Write specs, design docs, discovery questions, and runbooks so work can be resumed and understood by other engineers or agents.
  • Build internal tooling that improves AI effectiveness, such as navigation maps, documentation indexes, guard hooks, and custom skills.
  • Automate recurring workflows into reusable Claude skills, hooks, or slash commands.
  • Review changes adversarially, verify correctness in the real environment, and catch regressions beyond surface-level success.

Requirements

  • Fluent AI orchestration experience running agents in parallel, isolating work in worktrees, and verifying output adversarially.
  • Genuine full-stack and infrastructure breadth, including React, backend services, Postgres RLS, and Terraform.
  • Strong systems debugging instinct across service boundaries such as auth, pagination, dependency conflicts, and integration mismatches.
  • Evidence-driven verification habits, including using working screenshots, read-back records, or live payloads instead of trusting badges alone.
  • Ability to describe a time you reversed your own conclusion when the evidence changed.
  • Strong automation mindset with a habit of turning repeated work into reusable skills, hooks, and commands.
  • Operating discipline that includes read-only investigation until authorized, copying proven patterns, enhancing in place, and leaving clean handoffs.
  • Thick skin and plain speech, with the ability to handle blunt feedback and explain reasoning clearly.
  • Enterprise ERP / SAP depth, especially RFC/BAPI, ABAP, and customer/order master data, or the ability to reverse-engineer it.
  • Nice-to-have tooling experience building navigation maps, indexes, skills, guard hooks, or templates.
  • Preferred architectural judgment under constraints, including knowing when not to rewrite or scatter systems.
  • Multi-tenant or B2B platform experience, including tenancy isolation and per-tenant configuration.
  • Compliance familiarity with GDPR, SOC 2, or ISO 27001, including ROPA, control mappings, and runbooks.
  • Design-system literacy, including token-based systems and the ability to do your own UX/UI pass.

Interested in this position?

Apply directly on the company website

Apply Now

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