Senior AI Software Engineer

Workana; Ciudad de México; A distancia; MXN 600,000 - 800,000; Jornada completa

Descripción de la vacante

A leading remote work platform is seeking a Senior AI Engineer to lead the development of innovative AI-driven products. The ideal candidate will have extensive experience in software engineering, particularly in AI, and strong skills in Python and agentic orchestration. This fully remote role offers competitive compensation and career growth opportunities within a dynamic international environment.

Servicios

Competitive compensation in USD

Fully remote work in Latin America

Career growth opportunities

Formación

• 5+ years of software engineering experience, with at least 3 years in AI / ML or agent-based systems.
• Proven experience with agentic orchestration and Model Context Protocol (MCP).
• Strong coding skills in Python and ability to utilize coding tools for rapid development.

Responsabilidades

• Design and implement agentic orchestration workflows, focusing on A2A communication.
• Lead the SaaS conversion of existing AI-based products to ensure scalability.
• Build and integrate the Deposition Agent System, leveraging various data sources.

Conocimientos

Python

AI/ML

Agentic orchestration

API integrations

Problem-solving

Descripción del empleo

Workana is the largest remote work platform for talents in Latin America. Our new segment, Workana Premium , focuses on matching the most exceptional professionals with leading and innovative companies around the globe. Enjoy competitive compensation, dedicated support, and the flexibility of remote work within a dynamic environment that fosters collaboration and professional advancement.

We are proud to present you with the following opportunity.

About Our Client

Our client is a family-owned legal services business undergoing a major transformation to scale their operations through advanced AI and software solutions. They are building the future of their industry by automating workflows, enhancing efficiency, and creating AI-powered products that redefine how legal services are delivered.

Role Overview

We are seeking a Senior AI Engineer to join the team and lead the development of cutting-edge agentic orchestration systems. This role will focus on two key initiatives :

• SaaS Conversion – Transforming the company’s existing AI-driven report generation framework into a scalable SaaS product.
• Deposition Agent System – Building and orchestrating a new AI agent workflow to automate deposition preparation, integrating diverse data sources and leveraging Model Context Protocol (MCP).

The ideal candidate is an experienced AI engineer with strong integration skills, Python expertise, and hands‑on knowledge of agentic orchestration and MCP. You will collaborate directly with the CTO, execute autonomously, and potentially mentor junior engineers as the team expands.

Responsibilities

• Design and implement agentic orchestration workflows, including Agent-to-Agent (A2A) communication and self‑reinforcement learning.
• Lead the SaaS conversion of the company’s existing AI‑based product, ensuring scalability, security, and reliability.
• Build the Deposition Agent System , integrating APIs and data pipelines (email, CRM, file systems) into LLM‑powered agents.
• Work with Model Context Protocol (MCP) to connect and contextualize data across multiple systems.
• Evaluate and integrate AI frameworks (e.g., N8N, CrewAI, or alternatives) to optimize agent performance.
• Collaborate with the CTO and stakeholders to translate business needs into technical solutions.
• Provide technical guidance and mentorship as the AI team grows.

Requirements

• 5+ years of software engineering experience, with at least 3 years in AI / ML or agent‑based systems.
• Proven experience with agentic orchestration , Model Context Protocol (MCP) , and Agent-to-Agent (A2A) Protocols (hands‑on preferred, theoretical knowledge acceptable).
• Strong coding skills in Python , with the ability to leverage “vibe coding” tools (e.g., Claude, Copilot) for rapid development.
• Experience with API integrations, data pipelines, and connecting multi‑system environments.
• Understanding of SaaS product architecture and deployment.
• Ability to work autonomously while following high‑level direction from the CTO.
• Excellent problem‑solving skills and adaptability to emerging AI technologies.

Benefits

• Compensation in USD
• Fully remote work in Latin America
• Career growth opportunities with international projects and innovative AI‑driven initiatives