AI Software Engineer

POSITION OVERVIEW:

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.

KEY RESPONSIBILITIES:

1. Spec-Driven, AI-Assisted Development

• • 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:
    • Architecture
    • Security
    • Performance
    • Maintainability
  • Identify hallucinations, logical gaps, and unsafe patterns introduced by AI tooling
  • Enforce engineering standards and best practices regardless of code origin
    
    

3. Architecture & Design

• • Collaborate on system design, breaking down complex problems into AI-friendly components
  • Guide AI tools toward clean abstractions, modular design, and scalable patterns
  • Document architecture and decision-making clearly for human and AI consumers
    
    

4. Testing & Validation

• • Ensure comprehensive unit, integration, and regression test coverage
  • Use AI tools to accelerate test generation while validating correctness
  • Own the “last mile” of confidence before production deployment
    
    

5. Enablement & Leadership

• • 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

REQUIRED QUALIFICATIONS

• 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

Experience working in Agile teamsInterested candidates should email a current resume to careers@maxex.com.