Senior Software Engineer (AI-Native Development)

Requirements

• Experience building and shipping production software
• Demonstrated ability to design effective prompts, agent workflows, and AI-assisted development processes using tools such as Codex, Claude, Copilot, Cursor, or similar systems
• Experience structuring sophisticated engineering tasks so that AI agents can execute them effectively
• Ability to evaluate, debug, and refine AI-generated outputs through prompt iteration and workflow design
• Experience in both creating new systems and improving established ones
• Strong understanding of APIs, databases, testing, debugging, and system design
• Experience setting up and operating multiple AI agents or agentic workflows across requirements analysis, code generation, refactoring, code review, testing, refactoring, unit testing, and documentation
• Strong ability to evaluate code quality, correctness, and security
• Ability to work independently and take responsibility for outcomes
• (Desirable) Experience with C# / .NET, React, APIs, and automated testing
• (Desirable) Experience in SaaS product companies
• (Desirable) Experience with CI/CD and modern development workflows
• (Desirable) Experience with legacy code modernisation
• (Desirable) Experience in improving engineering productivity across a team
• Strong engineering fundamentals
• Ability to produce significantly more engineering output by orchestrating AI tools effectively, not simply writing code faster manually
• High ownership
• Fast execution with quality
• Sound judgment
• Comfort operating in real production complexity
• Business-result orientation

What the job involves

• At Benivo, we believe the next generation of strong software engineers will combine deep engineering judgment with the ability to orchestrate AI agents to design, implement, test, and ship software faster
• We are hiring a Senior Software Engineer (AI-Native Development) to help us build software significantly faster and better using tools such as Codex, Claude, GitHub Copilot, and similar tools
• This is not an AI/ML or research role. It is a hands-on software engineering role for someone who can use AI effectively across the full development lifecycle while remaining fully responsible for quality, design, maintainability, security, and production outcomes
• Build new product capabilities from requirements through release
• Work confidently inside a large, evolving codebase with technical debt and business-critical logic
• Set up and use multiple AI agents or agentic workflows to accelerate requirements analysis, implementation, testing, refactoring, unit testing, and documentation
• Review and strengthen AI-generated output rather than relying on it blindly
• Write maintainable, production-grade code and automated tests
• Make sound technical decisions across architecture, performance, security, and maintainability
• Help raise the bar for AI-native engineering practices across the organisation

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