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# Agentic Full Stack Engineer (AI-Native Delivery)

- **Company:** TechMagic USA LLC
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Advanced Business Application Programming (ABAP), Artificial Intelligence, Amazon Web Services, Spreadsheets, Cloud Computing, Software Debugging, Python (Programming Language), PostgreSQL, Node.Js, SAP (Applications), TypeScript, SAP Integration Solutions, ReactJS, SAP BAPI, Data Management, Virtual Agents, Terraform, Pagination
- **Published:** August 25, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pf1fwgxptb

## About the Role

We are looking for a talented Agentic Full stack Engineer (AI-Native Delivery) with 3+ years of commercial full stack experience, to join an established, revenue-generating B2B platform for the materials industry., Must have:

 * 3+ years of commercial fullstack development experience (React + Node.js/TypeScript, or Python)
 * Hands-on, practical experience directing multiple AI coding agents in parallel - isolated worktrees/branches, adversarial verification of agent output, spec-driven development, and building reusable AI skills/hooks/commands for recurring workflows
 * Working knowledge of PostgreSQL and basic understanding of cloud infrastructure (Terraform/AWS)
 * Ability to work fully autonomously and communicate directly with an English-speaking client team without a manager in between
 * English - Upper-Intermediate or higher

Nice To Have

 * Experience with SAP / enterprise ERP integration (RFC/BAPI, ABAP, customer & order master data)
 * Experience in multi-tenant / B2B SaaS platforms
 * Familiarity with compliance frameworks (GDPR, SOC 2, ISO 27001)
 * Experience building internal tooling for other engineers
 * Design-system literacy

## Description

* Full-stack development across the client's platform - from a React component to a Postgres row-level-security policy to a Terraform module
 * Cross-boundary root-cause debugging: auth, pagination, dependency conflicts, integration mismatches
 * Turning recurring tasks into reusable AI agent skills, hooks, and commands so the next run is faster
 * Proving results with concrete evidence - fixtures, payloads, read-back records - rather than relying on a green CI badge alone

PROJECT

Customer: Established, revenue-generating international platform for the materials industry, backed by a large global industrial distribution group.

Type: B2B SaaS / marketplace platform.

Product: The platform serves as a digital backbone for companies across the materials industry - chemicals, polymers, elastomers, rubber - replacing a patchwork of separate CRMs, ERPs, and spreadsheets with one connected system that turns commercial interactions and physical assets into structured, usable data.

Market: Global materials/chemicals industry, client team based in the US.

Stage: Mature, actively growing platform with an established engineering team (not a from-scratch build).


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