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hace 2 semanas


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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).

**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.
- 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