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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Software Engineer - **Company:** SCOPUM IT SERVICES INC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Software Quality, Code Review, Cursor (Graphical User Interface Elements), Software Debugging, Software Design Patterns, Programming Tools, Digital Architecture, Modular Design, Software Architecture, Regression Testing, Secure Coding, Software Engineering, Strategies of Testing, Backend, Information Technology, GPT - **Published:** September 11, 2026 - **Apply:** https://www.maxex.com/job-post/ai-software-engineer/ ## About the Role * Bachelor's degree in Computer Science, Software Engineering, or a related field * 5+ years of professional software engineering experience * Strong experience building and reviewing production systems (backend, APIs, services) * Hands-on experience using AI-assisted coding tools (e.g., Kiro, Cursor, Copilot, ChatGPT, Claude, etc.) as part of daily development * Hands-on experience with Spec-Driven Development (SDD) * Experience operating across the full AI Development Life Cycle (AI-DLC) - pre-grooming, spec decomposition, design, generation, review, testing, and deployment * Familiarity with Kiro spec workflows (or comparable agentic, spec-aware development tools) preferred * Demonstrated ability to reason about and debug code you did not originally write * Strong understanding of: + Software architecture and design patterns + Secure coding practices + Testing strategies and CI/CD pipelines ## Description We are seeking a Senior Software Engineer who builds, reviews, and refines production-grade software using AI-assisted development tools such as Kiro, Cursor, GitHub Copilot, and similar IDE-integrated LLMs, applying Spec-Driven Development (SDD) within an end-to-end AI Development Life Cycle (AI-DLC). This role represents a new development model for our organization. Rather than focusing primarily on manual coding, this engineer will excel at spec authoring, requirements decomposition, prompt-driven development, architectural reasoning, code review, and iterative refinement using AI as a core collaborator across the full AI-DLC - from epic-level requirements through deployment. You will partner closely with other senior engineers, product owners, and engineering leadership to accelerate delivery, improve code quality, and establish best practices for AI-augmented development across teams. This position follows a hybrid work schedule: onsite Tuesday through Thursday, with flexibility to work remotely on Mondays and Fridays. WHAT THIS ROLE IS AND IS NOT: This role is: * A senior-level engineering role with strong architectural judgment * Focused on designing, validating, and refining AI-generated code * Anchored in Spec-Driven Development - authoring epic-level requirements, decomposing into child specs, and driving AI agents to generate code aligned to spec * Accountable across the full AI-DLC: pre-grooming, decomposition, design, generation, review, testing, and deployment * Responsible for correctness, security, performance, and maintainability This role is not * A prompt-only or non-technical position * A research or data science role * A replacement for foundational engineering knowledge Client Relationship & Service Delivery * Serve as the senior point of escalation for complex seller issues, ensuring timely resolution and clear communication. * Act as a consistent and trusted point of contact for assigned sellers, building confidence in the MAXEX exchange. * Identify trends across the seller base that indicate training needs or relationship opportunities and drive targeted action. * Provide proactive pipeline status updates to new and white glove sellers rather than requiring them to chase answers., + Author and decompose epic-level requirements into structured child specs (overview, in-scope / out-of-scope, validation rules) used to drive AI tooling toward correct, test-aligned implementations + Operate Kiro spec workflows (or equivalent) end-to-end: requirements * decomposed specs * generated stories/tasks * AI-assisted implementation, with traceability back to spec + Design and implement software solutions using prompt-driven workflows in tools such as Kiro, Cursor, and AI-enabled IDEs + Translate business and technical requirements into clear, structured prompts that generate reliable, testable code + Rapidly iterate on AI-generated outputs to improve correctness, performance, and clarity 2. Code Review & Quality * + Review AI-generated and human-written code with a strong focus on: o Architecture o Security o Performance o Maintainability + Identify hallucinations, logical gaps, and unsafe patterns introduced by AI tooling + Enforce engineering standards and best practices regardless of code origin, + Partner with senior engineers to define best practices for AI-assisted development + Help establish internal standards for prompt structure, review workflows, and guardrails + Mentor engineers transitioning into AI-augmented workflows 6. AI Development Life Cycle (AI-DLC) Stewardship * + Drive each stage of AI-DLC: pre-grooming, decomposition, design, generation, code review, testing, deployment, and post-deploy monitoring + Maintain bidirectional traceability between specs, generated code, and tests (TDD) so AI-produced artifacts remain auditable against requirements + Define and continuously refine AI prompts, guardrails, and review checklists so AI-DLC produces consistent, production-ready output across teams ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [From Vibe Coding to Viable Code with Spec-Driven Development](https://www.wearedevelopers.com/videos/100216-from-vibe-coding-to-viable-code-with-spec-driven-development) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) - [Building and Modernising Apps with Agentic AI - Julia Kordick](https://www.wearedevelopers.com/videos/1832-building-and-modernising-apps-with-agentic-ai-julia-kordick) ## Related Articles - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Top AI Tools for Developers in 2025](https://www.wearedevelopers.com/magazine/560-top-ai-tools-for-developers-in-2025) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)