Software Developer – Cloud ERP (AI-First)

everfieldRemote - Tunisia - RemoteYesterday

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Requirements

Strong commercial experience with Microsoft .NET (C#)
Hands-on experience with Microsoft Blazor (Server and/or WASM)
Microsoft SQL Server or Postgres SQL – schema design, indexing, query optimisation
Docker – containerise development and deployment
Github-based source control workflows
Experience building and maintaining cloud-hosted applications
We are specifically looking for someone who:
Actively uses AI coding tools such as:
GitHub Copilot
Chat-based LLM tooling for development
Is comfortable with:
Generating, reviewing, and refining code with AI assistance
Using AI for refactoring, test generation, and documentation
Treating AI as a productivity multiplier, not a crutch
Understands the limits and risks of AI-generated code and can apply engineering judgement
Is enthusiastic about evolving their workflow as AI tooling improves
Entity Framework or similar ORM tools
RESTful APIs and service-oriented architectures
Manufacturing Domain Experience (Highly Desirable)
Strong understanding of manufacturing ERP / MRP systems
Bills of Materials (BOMs)
Routings and operations
Work orders and production planning
Inventory and capacity planning
Ability to design software that reflects real manufacturing constraints

We are building our new cloud-based flagship ERP platform for manufacturing businesses, and we’re looking for a mid-level software developer who is comfortable working in an AI-first development model.
This role is not about experimenting with AI on the side. AI-assisted development is central to how we design, build, test, and evolve the product. You’ll be expected to actively use tools such as Claude Code, GitHub Copilot, or equivalent to accelerate delivery while maintaining high engineering standards.
Building core functionality for the launch of our cloud-native ERP platform
Developing new features using .NET, Blazor, and modern cloud tooling
Applying AI-assisted development to improve speed and quality
Improving performance, scalability, and maintainability
Contributing to architectural and technical decisions
Helping establish development standards for an AI-first team
Nice-to-Have Extras
Experience in manufacturing, engineering, or supply chain environments
Exposure to multi-tenant SaaS architectures
Familiarity with security, permissions, and role-based access models
Experience working in teams transitioning to AI-assisted development