AI/ML Engineering Manager | Payments Platform (Remote)

Lever, Inc.; Ciudad de México; Presencial; MXN 2.523.000 - 3.785.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work from anywhere

Stock options

Health insurance support

Internet & cell phone allowance

Learning & development

Career growth

Descripción de la vacante

DEUNA is hiring an Engineering Manager to lead the AI/ML engineering team responsible for payment routing optimization, authorization rate improvements, and AI-powered digital workforce products. You will guide architecture decisions, coach engineers, and own delivery for the team, while maintaining high-quality engineering culture.

You will manage ~7-8 engineers across ML, backend and platform work, align with product and leadership, and drive strategic technical roadmaps in a fast-moving

Formación

• 8+ years in software engineering with 2-3+ years in people management.
• Experience building/shipping backend and/or ML systems at scale, fintech/payment familiarity preferred.
• Experience hiring, developing and retaining engineers; balancing people and delivery.
• Hands-on familiarity with AI/ML systems: model training/serving, LLM workflows (agents, RAG).

Responsabilidades

• Manage and grow a team of AI/ML and platform engineers, including hiring and career development.
• Coach engineers through design decisions, code/architecture reviews, and trade-offs.
• Set engineering standards, testing strategy, and CI/CD practices.
• Drive accurate costing and delivery estimates for initiatives.

Conocimientos

Software engineering

People management

Backend systems

ML systems

LLM workflows

Payments domain

Communication

Startup environment

Herramientas

Go

Python

AWS

Terraform

CI/CD

PyTorch

LangChain

Descripción del empleo

DEUNA is hiring an Engineering Manager to lead the AI/ML engineering team responsible for payment routing optimization, authorization rate improvements, and AI-powered digital workforce products. You will guide architecture decisions, coach engineers, and own delivery for the team, while maintaining high-quality engineering culture.

You will manage ~7-8 engineers across ML, backend and platform work, align with product and leadership, and drive strategic technical roadmaps in a fast-moving