Senior AI Product Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior AI Product Engineer (AI): Lead AI-augmented development strategies and innovative AI features across HR, Legal, and Risk SaaS products with an accent on prompt engineering, scalable architecture, and technical leadership. Focus on architecting full-stack systems, leveraging tools like GitHub Copilot, Devin AI, and LLMs to boost productivity and solve complex engineering challenges.
Location: Remote Mexico - Only Mexican Citizens or PR
Company
is a global technology partner for corporate legal, immigration, HR, and compliance teams serving over 20,000 corporations worldwide.
What you will do
- Lead AI-first engineering using tools like GitHub Copilot, Devin AI, and GPT APIs; define prompt engineering best practices.
- Design, build, and maintain scalable full-stack features, including architecture, back-end APIs, and data layers.
- Drive technical leadership: conduct code reviews, implement testing strategies, and mentor junior/mid-level engineers.
- Evaluate AI trends, adopt new tools, and contribute to the technical roadmap and engineering processes.
Requirements
- Reside in Mexico (Mexican Citizen or PR required)
- 7+ years software development experience building scalable production-grade applications.
- Deep expertise in backend/full-stack tech (Python, Go, Java, Node.js, React); architected complex systems.
- Experience with AI tools/LLMs (GitHub Copilot, Devin AI, GPT APIs, LangChain, OpenAI).
- Strong code quality, security, performance focus; unit/integration/E2E testing expertise.
- Technical leadership: mentoring, leading projects end-to-end.
- Excellent English communication skills for technical/non-technical stakeholders
Nice to have
- Experience with U.S.-based stakeholders.
- Knowledge of HR, Legal, or Risk industries.
- Portfolio/open-source contributions in AI/software engineering.
Culture & Benefits
- Collaborative environment valuing ownership, transparency, continuous improvement.
- Autonomy to influence AI engineering tools, processes, and technical direction.
- Hands-on impact on products for Fortune 500 clients across 150+ countries.
- Proactive, team-oriented culture balancing individual excellence with teamwork.
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