AI Lead - Software Engineer

Alcor; Ciudad de México; Presencial; MXN 1,824,000 - 2,372,000; Jornada completa

Descripción de la vacante

A leading AI company is seeking an AI Lead in Ciudad de México to drive technical execution of AI initiatives. In this hands-on role, you'll oversee end-to-end delivery of AI-driven systems while mentoring engineers. The position requires 7-8 years of software engineering experience, strong Python skills, and solid understanding of system architecture. This role offers the opportunity to evolve into a leadership position as the company's AI roadmap expands.

Formación

• 7-8 years of experience in software engineering, including senior or tech-lead roles.
• Proven experience leading or managing engineers.
• High AI fluency with tools and frameworks.

Responsabilidades

• Lead the delivery of AI-driven features from design to production.
• Build and deploy systems using LLMs and AI tooling.
• Collaborate with data scientists to integrate data sources.

Conocimientos

Python

AI fluency

Debugging

Performance optimization

Communication

Herramientas

Docker

Kubernetes

AWS

GCP

Azure

Kafka

Descripción del empleo

Our client is seeking an AI Lead to drive the technical execution of their AI initiatives.
This is a hands‑on role that combinesdeep AI expertise with senior‑level software engineering skills to create intelligent, data‑driven systems that power their automation platform.

You'll lead the end‑to‑end delivery of AI‑driven systems from design to deployment, collaborating closely with product, design, and data teams.
As the AI roadmap expands, this position will naturally evolve into a full leadership role over the next 6‑12 months.

What You'll Do

• Own the delivery of AI‑driven features from design through production.

• Build and deploy systems using LLMs, agent frameworks, and modern AI tooling.

• Collaborate with data scientists and architects to integrate diverse data sources.

• Drive planning, prioritization, and technical decision‑making for AI initiatives.

• Communicate asynchronously with stakeholders to keep progress transparent.

• Monitor system health and performance in collaboration with DevOps.

• Mentor, coach, and eventually manage engineers.

Must‑Haves

• 7‑ 8+ years of professional software engineering experience (including senior or tech‑lead roles).

• Proven experience leading or managing engineers to deliver outcomes.

• Strong Python development and deployment expertise.

• High AI fluency, ability to leverage AI tools and frameworks effectively.

• Solid understanding of system architecture, data flow, and API design.

• Experience with Docker and Kubernetes.

• Proficiency with cloud platforms (AWS, GCP, or Azure).

• Knowledge of relational, NoSQL, and vector databases.

• Strong debugging, performance optimization, and communication skills.

• Experience working in remote or distributed environments.

• Pragmatic approach to balancing new features with long‑term technical health.

Nice‑to‑Haves

• Experience with TypeScript / Node.js.

• Familiarity with Kafka or other event streaming platforms.

• Hands‑on experience with continuous integration (CI/CD) and agile methodologies.

• Exposure to data integration or ETL processes.

• Prior experience transitioning from individual contributor to people manager.