2 дня назад
Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (AI): Building an AI-powered risk intelligence platform that helps enterprises detect and respond to emerging online threats with an accent on spec-driven development, AI coding agents, backend services, APIs, and integrations. Focus on translating requirements into executable specifications, validating AI-generated code with automated tests, and improving secure, maintainable CI/CD workflows.
Location: Remote, Mexico
Company
is a full-service consulting firm delivering software solutions and predictable outcomes for clients.
What you will do
- Build features for an AI-powered risk intelligence platform that detects and responds to emerging online threats.
- Translate product requirements into precise specifications, technical plans, task breakdowns, and acceptance criteria.
- Use AI coding agents such as Claude Code, Cursor, GitHub Copilot, or Kiro to implement, test, review, and refine software.
- Own backend services, REST APIs, and integrations from specification through production.
- Maintain coding standards, context files, prompts, templates, and automated tests that improve AI-generated code quality.
- Improve spec-driven development, tooling, and CI/CD practices while collaborating with a US-based client team.
Requirements
- 4+ years of professional software engineering experience building and shipping production applications.
- Hands-on daily experience with AI coding agents and spec-driven development.
- Strong backend skills with Python, TypeScript/Node.js, or Go, REST APIs, and SQL databases; full-stack experience with React or a similar framework is also relevant.
- Strong testing discipline covering unit tests, integration tests, and test-first practices.
- Experience with Git workflows, code review, CI/CD, and deployment to AWS, GCP, or Azure.
- Excellent written and spoken English is required, with especially strong written communication for specifications and documentation.
Nice to have
- Experience building LLM-powered features such as RAG, agents, or tool calling.
- Experience setting up team AI development tooling, MCP servers, agent rules files, or shared prompt libraries.
- Experience with data-heavy or SaaS platforms, security, threat intelligence, or trust and safety.
- Familiarity with Docker, Kubernetes, or infrastructure as code such as Terraform.
- Experience working with US-based clients or distributed teams.
Culture & Benefits
- Contract engagement with remote work from Mexico.
- Work in a hands-on individual-contributor role with end-to-end feature ownership.
- Collaboration with a US-based client team through daily standups and technical discussions.
- Focus on expertise, integrity, transparency, dependability, and continuous improvement of engineering workflows.
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