Senior Agentic Systems Architect (TypeScript, .NET, MCP) - Remote

WLG; Polska; Híbrido; PLN 260.000 - 420.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote-first

Flexible hours

Descripción de la vacante

WLG is seeking an experienced software architect to transform a decade-long legacy codebase into a high-velocity, agent-operable platform. You will work on architecting an agent-centric system, modernizing with the Strangler pattern, and enforcing SOLID, DI, and hexagonal principles to reduce risk.

You will lead the agent context layer and Model Context Protocol (MCP) servers, exposing legacy APIs as AI-consumable tools while owning contract-first API design between human intent and autonomous

Formación

• 7+ years in software architecture, platform engineering or technical leadership.
• Proven experience modernizing large, undocumented legacy systems.
• Deep hands-on expertise with TypeScript, .NET, and Node.js.
• Strong background in API design, distributed systems and modular architectures.
• Practical experience with agentic development, MCP, LLM tooling or AI-assisted engineering.

Responsabilidades

• Architect agent-operable system architecture and modular legacy modernization.
• Lead agent context layer development with standardizedSkills, Rules and Commands.
• Own contract-first API design as the main interface for autonomous execution.
• Act as architectural gatekeeper for AI-generated changes and ensure TDD.

Conocimientos

Software architecture

Platform engineering

Technical leadership

TypeScript

.NET

Node.js

API design

Distributed systems

Hexagonal Architecture

TDD

AI tooling

Herramientas

MCP servers

API design tools

Descripción del empleo

Want to design the architecture that lets AI agents safely refactor, test and ship production code? Then let's talk.

Our client acquires enterprise software companies and turns them into AI-native, profitable, scalable businesses. They are a remote-first, AI-forward team spread across the globe, offering high ownership, flexibility and impact, work across multiple products and technologies, and growth pathways across engineering, product and leadership.

The job: transform a 10+ year legacy codebase into a high-velocity, agent-operable architecture, at the intersection of software architecture, AI-agent orchestration and engineering governance.

Contract Type: Contract, full-time

Location: Fully remote from Eastern Europe, working US morning hours (Scrum).

What You'll Do

Agent-operable system architecture

• Decompose legacy monoliths into agent-readable, modular systems with strict boundaries and single responsibility
• Lead incremental modernization using the Strangler Pattern, wrapping legacy logic in modern, contract-driven interfaces
• Enforce SOLID principles, Dependency Injection, and Hexagonal Architecture to ensure deterministic AI execution and low regression risk

Agentic framework & MCP leadership

• Architect and maintain the agent context layer: standardized Skills, Rules, and Commands for AI-driven engineering workflows
• Build and operate Model Context Protocol (MCP) servers exposing legacy APIs, services, and databases as typed, secure, AI-consumable tools
• Own contract-first API design as the primary interface between human intent and autonomous agent execution

Engineering governance & AI quality control

• Act as architectural gatekeeper for AI-generated pull requests, ensuring scalability, security, and long-term maintainability
• Mandate test-driven development (TDD) and characterization testing to preserve legacy behavior during refactoring
• Monitor and optimize agentic reasoning loops to balance cost, speed, and architectural integrity

What we're looking for

• 7+ years in software architecture, platform engineering, or technical leadership
• Proven experience modernizing large, undocumented legacy systems
• Deep hands-on expertise with TypeScript, .NET, and Node.js
• Strong background in API design, distributed systems, and modular architectures
• Practical experience with agentic development, MCP, LLM tooling, or AI-assisted engineering
• Bias toward clean code, deterministic systems, and production-grade AI

Nice to have

• Experience with remote-first or globally distributed teams
• Background in SaaS transformations, scale-ups, or PE-backed environments
• Comfort operating in high-ambiguity, high-ownership settings