02 oct
|
Kueski
|
Ciudad de México
02 oct
Kueski
Ciudad de México
Since 2012, we've been the leading buy now, pay later (BNPL) and online consumer credit platform in Latin America, known for our innovative financial services. Our flagship product, Kueski Pay, provides seamless payment solutions for both online and in-store transactions, establishing itself as the preferred option for nearly 30% of Mexico's top e-commerce merchants. Notably, we were the first to introduce BNPL on Amazon Mexico.
We're a tech company with a culture geared toward innovation, collaboration, and impact, fostering a strong, diverse, and inclusive workplace. In 2024, we were named one of the World's Top FinTech Companies by CNBC and recognized as one of the most ethical companies in Mexico by AMITAI. Additionally, we were certified as a Best Place to Work for LGBTQ+ Equality by HRC Equidad MX 2025 and ranked among the Best Companies for Female Talent by EFY.
Kueski is seeking a Staff AI Software Engineer to join the AI Enabling Team.
This role is idóneo for a hands-on engineer who will build harnesses, developer tools, reusable workflows,
and guardrails that enable Engineering and Product teams to use AI agents effectively at scale.
10+ years building software, with several spent designing and shipping ML/AI systems in production at scale.
~ Strong systems and software engineering fundamentals.
~ Clear communicator who can align engineers, PMs, and risk/compliance stakeholders — and give a direct technical opinion when it matters.
We're not starting from a blank page, you'll evolve Kueski's existing services, data platforms, and pipelines into systems that AI agents and models can operate on safely and effectively. Make Kueski's knowledge (code, data, business logic, docs, and operational state) structured and retrievable so LLMs and agents can reason reliably over our real systems. Redefine how we build (specs, code, review, testing, deployment) around agentic engineering workflows. Design and ship the agentic systems behind our internal workflows, and ta
📌 Software Engineer, Staff (Ciudad de México)
🏢 Kueski
📍 Ciudad de México