Engineering Manager AI

DEUNA; San Pedro Garza García; A distancia; MXN 900.000 - 1.400.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Vacations and PTO

Remote work from anywhere

Health insurance support for remote

Descripción de la vacante

DEUNA is seeking an Engineering Manager to lead the AI/ML engineering team responsible for intelligent payment routing optimization and AI-powered workforce products. You will guide architecture decisions, unblock the team, and communicate roadmap to leadership.

This hands-on management role requires depth in ML systems, backend services, and modern AI workflows to mentor engineers and deliver high‑quality solutions. Remain close to technical details while scaling the organization.

Formación

• 8+ years in software engineering, including 2–3+ years in people management.
• Experience building and shipping backend and ML systems at scale, fintech/payments a plus.

Responsabilidades

• Lead and grow a team of AI/ML and platform engineers, including hiring and career development.
• Coach engineers on design decisions, reviews, and trade-offs.
• Set engineering standards for code, testing, and CI/CD practices.
• Own delivery estimates and drive roadmap alignment with product leadership.
• Guide ML model lifecycle and LLM workflows, ensuring latency and reliability.

Conocimientos

People management

Team leadership

Architectural judgment

Communication

Problem solving

Educación

Bachelor's degree in Computer Science

Herramientas

Go

Python

AWS

LLMs/LangChain

Descripción del empleo

About DEUNA

DEUNA is a rapidly growing startup revolutionizing global commerce with ATHIA, our AI-powered orchestration and payments platform that helps large enterprises boost approval rates, reduce costs, and unlock new revenue. Built by the team behind DEUNA—the fastest-growing Commerce OS in Latin America—ATHIA combines payment intelligence, checkout optimization, and data orchestration in one powerful solution.

With deep integrations across 300+ PSPs and alternative payment methods, and over 20% of Mexico’s digital economy running through our platform, we simplify global payments through a single integration and centralized reconciliation.

We are a rapidly growing startup expanding into the U.S. to meet the urgent needs of large retailers, marketplaces, airlines, and QSRs. Join us to shape the future of payments!

Visithttps://www.deuna.com/ to learn more about us!

About The Role

DEUNA is looking for an Engineering Manager to lead our AI/ML engineering team — the group building the intelligent systems behind payment routing optimization, authorization rate improvement, and our AI-powered digital workforce products. You will manage a team of engineers (currently ~7-8) spanning ML, backend, and platform work, while staying close enough to the technical details to guide architecture decisions, unblock your team, and represent the group’s roadmap to product and leadership.

This is a hands‑on management role: you won’t be writing production code day‑to‑day, but you need enough depth in ML systems, backend services, and AI/LLM workflows to make good calls on architecture, review technical approaches, and coach engineers through hard problems. You’ll own delivery for the team — scoping, costing, and sequencing initiatives — while building a low‑tech‑debt, high‑quality engineering culture.

Who You Are

8+ years in software engineering, including 2-3+ years in a people management role leading engineers.

You have significant experience building and shipping backend and/or ML systems at scale, ideally with exposure to fintech, payments, or another regulated, latency-sensitive domain.

You’ve managed engineers before, hiring, developing, and retaining a team, and you know how to balance people development with delivery pressure.

You have hands‑on familiarity with modern AI/ML systems: model training and serving, LLM‑powered workflows (agents, RAG, orchestration), or similar — enough to have a real technical conversation with your team and challenge their thinking when needed.

Practical exposure to LLM‑based systems in production (agents, RAG, or AI workflow orchestration).

Payments, fintech, or another regulated‑industry background is a strong plus, but not required.

You communicate clearly and proactively, both with your team and with cross‑functional partners in product and operations.

You’re comfortable in a fast‑moving startup environment — priorities shift, and you can re‑scope and re‑communicate without losing the team’s trust.

You’re driven by self‑improvement and push the people around you to grow as well.

What You’ll Do

Team & People Leadership

Manage and grow a team of AI/ML and platform engineers, including hiring, performance development, and career growth.

Coach engineers through technical design decisions, code and architecture reviews, and hard trade‑offs.

Set the engineering bar for the team: code standards, testing strategy, and CI/CD practices.

Drive accurate costing and delivery estimates for initiatives, and keep the team accountable to commitments.

Technical Ownership

Guide architecture for ML model lifecycle work (training, evaluation, monitoring, retraining) and LLM‑powered workflows (agent orchestration, RAG pipelines, vector DB integrations).

Oversee inference services supporting live payment routing, ensuring they meet strict latency and reliability requirements.

Ensure the team’s AWS infrastructure, CI/CD, and observability practices (dashboards, tracing, on‑call runbooks) meet a high bar.

Apply sound judgment on PCI‑DSS and data‑handling requirements across anything touching payment data.

Cross‑functional Collaboration

Translate product vision into an executable technical roadmap with clear timelines and trade‑offs.

Partner directly with product, operations, and modeling leadership to keep feedback loops short and priorities aligned.

Represent the AI/ML engineering team’s progress and blockers to leadership.

Tech Stack (for context, not all required)

Backend / Platform

Go, Python, gRPC & REST APIs, event streaming, distributed systems

Cloud & Infra

AWS (ECS/EKS, Terraform, RDS/Aurora, S3), hybrid/on‑prem deployment

AI / ML Stack

PyTorch/TensorFlow, XGBoost/scikit‑learn, MLflow/W&B, model monitoring

LLMs & Agents

LangGraph/LangChain, RAG, vector DBs, prompt engineering, LLM evaluation

Payments Domain

PCI‑DSS awareness, tokenization patterns, PSP integrations, routing/auth rate optimization

Observability

Prometheus/Grafana, OpenTelemetry, structured logging, on‑call runbooks

What will you find when you join DEUNA?

• A multicultural team distributed throughout LATAM
• Dynamism, agility and constant innovation
• Being part of a high‑impact solution for an entire region
• The best tools and technology to operate
• Being part of the startup culture.
• We are in full expansion!

Benefits

• Vacations and additional PTO
• Remote work from anywhere
• Economic support for health insurance, internet and cell phone line
• We all own DEUNA, we offer stock options
• Learning and development platform
• Multidisciplinary, diverse and dynamic team
• Growth and career path
• Be part of a dynamic team that's creating the next generation payments platform.

DEUNAis proud to be an equal opportunity employer. We value and celebrate diversity and inclusion in our workplace. All employment decisions at DEUNA are made without discrimination based on nationality, race, ethnicity, religion, gender, sexual orientation, gender identity or expression, marital status, color, disability, or any other characteristic protected by law.