Agentic Systems Engineer – TypeScript, .NET, MCP

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

📋 Description

• Break down legacy monolithic systems into agent-readable, modular architectures with well-defined boundaries and a single responsibility principle.

• Spearhead incremental modernization initiatives utilizing the Strangler Pattern, encapsulating legacy logic within contemporary, contract-driven interfaces.

• Uphold SOLID principles, Dependency Injection, and Hexagonal Architecture to ensure reliable AI execution and minimize regression risks.

• Design and oversee the agent context layer, encompassing standardized Skills, Rules, and Commands.

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

• Take ownership of contract-first API design that bridges human intent and autonomous agent action.

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

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

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

⛳️ Requirements

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

• Demonstrated experience in modernizing extensive, undocumented legacy systems.

• In-depth hands-on proficiency in TypeScript, .NET, and Node.js.

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

• Practical background in agentic development, MCP, LLM tooling, or AI-assisted engineering.

• A preference for clean code, deterministic systems, and production-ready 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 navigating high-ambiguity, high-ownership environments (preferred).

• Availability to work during US morning hours (Scrum).

🏝️ Benefits

• A remote-first, AI-focused team environment.

• High levels of ownership, flexibility, and potential for impact.

• Opportunities to work across various products and technologies.

• Clear growth pathways in engineering, product management, and leadership roles.