
Agentic Full Stack Engineer (AI-Native Delivery)
TechMagic · Ukraine
About this role
The candidate will work on a revenue-generating B2B SaaS platform for the materials industry, focusing on AI-native delivery by directing multiple AI coding agents in parallel. Responsibilities include full-stack development using React, Node.js/TypeScript, or Python, and managing cloud infrastructure with Terraform and AWS. The role involves decomposing work for agents, adversarial verification of outputs, and turning recurring tasks into reusable AI agent skills. The engineer will work within a delivery team of 3 developers, 2 QA, and 1 DevOps, collaborating directly with a US-based client team.
Skills & technologies
Nice to have
- SAP
- ERP
- ABAP
- B2B SaaS
- GDPR
- SOC 2
- ISO 27001
- Design-system
Read full description
This is not a "write code with AI" role — it's an operate AI agents role: decompose work, fan it out to parallel coding agents, verify adversarially, ship across the stack.
Job Requirements
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
- 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
- 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
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).
Project team: 3 developers, 2 QA, 1 DevOps on the delivery side, plus a dynamic client-side team.
Work schedule: Full-time, full remote
Interview Stages
- 1-st stage — Call with the Recruiter
- 2-nd stage — Interview with the technical specialist and the recruiter
- 3-rd stage — Interview with the client
- Projects with modern JS stack (React.js, React Native, Angular, Node.js)
- Strong JavaScript community at the company (90+ developers)
- Work from anywhere (fully remotely or in our office)
- Paid vacations and sick-leaves, additional days-off, relocation bonus
- Wellness: Medical insurance/ sport compensation/ health check-up+flu vaccination at your choice
- Education: regular tech-talks, educational courses, paid certifications, English classes
- Fun: own football team, budget for team-lunches, branded gifts
- One of the best IT employers in Lviv (or IT service companies in Ukraine) based on DOU rating
Recruiter — Anastasiia Vaskiv
- Some elements of our recruitment process are supported by AI tools, while all candidate evaluations remain the responsibility of our recruitment team.