Tech Holding - Software Engineer, Spec-Driven AI Development | Contract | Remote, MX
Requirements
• 4+ years of professional software engineering experience building and shipping production applications • Hands-on experience using AI coding agents as a core part of your daily development workflow, not just autocomplete • Practical experience with spec-driven development: writing specs, plans, or structured requirements that guide AI-generated implementation (e.g., GitHub Spec Kit, Kiro, or a similar approach of your own) • Backend: Python, TypeScript/Node.js, or Go, plus REST APIs and SQL databases • Full stack: the above plus React or a similar modern frontend framework • Strong testing discipline, including unit, integration, and test-first habits that validate AI-generated code • Experience with Git-based workflows, code review, and CI/CD • Experience deploying to a cloud platform (AWS, GCP, or Azure) • Excellent written and spoken English, especially strong written communication for specs and documentation • Experience building LLM-powered product features, such as RAG, agents, or tool calling • Experience setting up AI development tooling for a team, such as MCP servers, agent rules files, or shared prompt libraries • Experience with data-heavy or SaaS platforms, especially in security, threat intelligence, or trust and safety • Familiarity with Docker, Kubernetes, or infrastructure as code (e.g., Terraform) • Previous experience working with US-based clients or distributed teams • Location: • Employment type:
Responsibilities
• Translate product requirements into precise specs, technical plans, and task breakdowns that AI coding agents can carry out reliably • Use AI coding agents (e.g., Claude Code, Cursor, GitHub Copilot, or Kiro) to implement features, then review, test, and refine the code they produce • Own features end to end across backend services, APIs, and integrations, from spec through to production • Define acceptance criteria and automated tests up front so AI-generated code is checked against the spec • Maintain project context files, coding standards, and reusable prompts and templates that keep agent output consistent • Review AI-generated and human-written code for correctness, security, performance, and maintainability • Improve the team’s spec-driven workflow, tooling, and CI/CD practices, and share what works
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