Principal Engineer — Full Stack, Cloud & AI

Job Title: Principal Engineer — Full Stack, Cloud & AI

Location: Medellín, Colombia

Type of Contract: 6-Month Contract-to-Hire | Full-Time upon mutual agreement

Salary Range: Market Rates

Language Requirements: Advanced English (Professional Written and Verbal Communication)

We are seeking a skilled Principal Engineer with deep expertise in Full Stack Development, Cloud Architecture, and AI-powered applications to join our growing team. You will play a key role in designing and scaling a multi-tenant SaaS platform while leading engineering standards, technical decision-making, and development execution across distributed teams. Your work will directly impact product delivery, platform scalability, client success, and the company's long-term technology strategy.

Key Responsibilities

• Own the technical architecture of the company's SaaS platform, designing, implementing, and evolving systems as the product scales toward commercial release.
• Write production-grade code daily across .NET (C#), React, Azure services, APIs, and data-driven applications.
• Lead, mentor, and provide technical direction to engineering teams across onshore and offshore environments.
• Establish and enforce engineering best practices, coding standards, architecture principles, and development processes.
• Design and implement secure multi-tenant SaaS architectures, including RBAC and SBAC authorization models.
• Build and integrate AI-powered capabilities including LLM orchestration, RAG pipelines, agentic workflows, MCP-based architectures, and intelligent automation solutions.
• Produce and maintain architecture documentation, technical diagrams, API specifications, ADRs, operational runbooks, and implementation guides.

Must-Have Qualifications

• 10+ years of professional software engineering experience with demonstrated architect-level ownership and decision-making.
• Extensive experience building enterprise applications using .NET/C#, React, SQL Server, and Microsoft Azure services.
• Strong expertise with Azure App Services, Functions, Service Bus, API Management, Key Vault, Managed Identities, and Azure DevOps.
• Proven experience designing and operating multi-tenant SaaS platforms with application-level and database-level tenant isolation.
• Hands-on experience implementing RBAC and SBAC authorization frameworks within enterprise applications.
• Experience delivering production AI solutions utilizing LLM APIs, Retrieval-Augmented Generation (RAG), MCP architectures, and agentic AI workflows.
• Strong leadership experience mentoring developers, conducting architecture reviews, and guiding engineering teams through complex technical initiatives.
• Excellent communication skills with the ability to explain technical decisions to executive stakeholders, clients, and cross-functional teams.
• Active user of AI-assisted development tools with a demonstrated AI-forward engineering mindset.
• Willingness to travel regularly to Austin, Texas and relocate in the future if required as part of a full-time conversion.

Preferred Qualifications

• Experience with Microsoft Fabric, including data pipelines, Lakehouses, Delta Tables, Semantic Models, and Direct Lake implementations.
• Hands-on expertise with Power BI, including semantic model design, DAX development, and enterprise reporting solutions.
• Experience deploying and managing solutions within Azure AI Foundry.
• Proficiency in Python, PySpark, Databricks, or related data engineering technologies.
• Previous experience working within an MSP, SaaS, consulting, or technology services organization.
• Familiarity with Microsoft Logic Apps and workflow automation solutions.
• Microsoft certifications such as AZ-204, AZ-305, or equivalent cloud architecture certifications.

What We Offer

• Opportunity to serve as the principal technical leader for a rapidly growing SaaS platform.
• Direct collaboration with executive leadership and key business stakeholders.
• High-impact role with ownership of architecture, engineering standards, and technical strategy.
• Exposure to cutting-edge AI, cloud, and SaaS technologies.
• Collaborative environment where contributions are highly visible and directly influence company growth.
• Opportunity to shape engineering team structure, hiring strategy, and long-term technical direction.
• Clear path to long-term leadership and organizational impact within a fast-growing technology company.