Agentic Systems Engineer – TypeScript, .NET, MCP

This is a fully remote position, open to applicants in Georgia.

📋 Description

• Break down legacy monolithic systems into modular, agent-readable architectures with clear boundaries and a focus on single responsibility.

• Guide the gradual modernization process utilizing the Strangler Pattern, encapsulating legacy logic within modern, contract-driven interfaces.

• Uphold SOLID principles, Dependency Injection, and Hexagonal Architecture.

• Design and manage the agent context layer featuring standardized Skills, Rules, and Commands.

• Develop and operate Model Context Protocol (MCP) servers that transform legacy APIs, services, and databases into typed, secure, AI-consumable resources.

• Take responsibility for contract-first API design, bridging human intent with autonomous agent execution.

• Serve as the architectural gatekeeper for pull requests generated by AI.

• Enforce test-driven development (TDD) and characterization testing during the refactoring process.

• Oversee and enhance agentic reasoning loops for cost efficiency, speed, and architectural soundness.

• Collaborate during US morning hours within a Scrum framework.

⛳️ Requirements

• A minimum of 4 years of experience in software architecture, platform engineering, or technical leadership.

• Demonstrated ability to modernize large, undocumented legacy systems.

• Extensive hands-on knowledge of TypeScript, .NET, and Node.js.

• Strong foundation in API design, distributed systems, and modular architectures.

• Practical experience with agentic development, MCP, LLM tooling, or AI-assisted engineering.

• A strong preference for clean code, deterministic systems, and production-grade AI.

• Experience working with remote-first or globally distributed teams (preferred).

• Background in SaaS transformations, scale-ups, or private equity-backed environments (preferred).

• Comfort in high-ambiguity and high-ownership environments (preferred).

🏝️ Benefits

• Fully remote work arrangement.

• High ownership, flexibility, and impact.

• Opportunity to work across multiple products and technologies.

• Growth pathways available in engineering, product, and leadership.