AI Software Engineer

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

1. Code Review & Quality

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• 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

1. AI Development Life Cycle (AI-DLC) Stewardship

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• 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

• 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