Engineering Manager AI

DEUNA; Ciudad de México; Presencial; MXN 1.200.000 - 1.800.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Vacations and additional PTO

Remote work from anywhere

Health insurance support

Stock options

Learning and development platform

Diverse, dynamic team

Descripción de la vacante

DEUNA is seeking an Engineering Manager to lead our AI/ML engineering team 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 guiding architecture decisions and coaching engineers.

This is a hands‑on management role: you won't write production code day-to-day, but you need depth in ML systems, backend services, and AI/LLM workflows

Formación

• 8+ years in software engineering with 2–3+ years in people management.
• Experience building and shipping backend and ML systems at scale, ideally fintech/payments.
• Direct experience hiring, developing and retaining engineers.
• Hands-on familiarity with modern AI/ML systems, LLM workflows, and AI orchestration.
• Ability to translate product vision into technical roadmaps and drive delivery.

Responsabilidades

• Lead and grow AI/ML and platform engineers (7–8 people).
• Guide architecture decisions, review designs, and coach engineers.
• Set engineering standards, testing strategy, and CI/CD practices.
• Own costing, sequencing, and delivery commitments for initiatives.
• Ensure PCI-DSS, data handling, observability, and reliability requirements.

Conocimientos

Software engineering

People management

Backend systems

ML systems

AI/LLM workflows

Team coaching

PCI-DSS awareness

Communication

Startup environment

Educación

Bachelor's degree in CS or related

Herramientas

Go

Python

gRPC/REST

AWS

Terraform

RDS/Aurora

Prometheus/Grafana

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!

Visit https://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.

DEUNA is 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.