Agentic systems architect

WLG

United States

Remote

USD 180,000 - 260,000

Full time

7 days ago
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Job summary

WLG ищет старшего архитектора ПО для трансформации устаревшей кодовой базы в высокоскоростную архитектуру, управляемую агентами, в рамках удалённой глобальной команды. Ваша задача — обеспечить масштабируемость, безопасность и управляемость систем с акцентом на инженерное управление и современные подходы к разработке.

Кандидат должен иметь опыт работы с TypeScript/.NET/Node.js, проектировании API, и внедрении модульных архитектур.

Qualifications

  • 7+ лет в области архитектуры ПО, платформенной инженерии или технического лидерства.
  • Опыт модернизации крупных незадокументированных монолитов.
  • Глубокие знания API-проектирования, распределённых систем и модульной архитектуры.
  • Опыт с агентной разработкой, MCP, LLM-инструментами или ИИ-помощником-инженером является плюсом.

Responsibilities

  • Разделение монолитов на модульные системы с чёткими границами и принципом единой ответственности.
  • Лидерство в постепенной модернизации по схеме Strangler, оборачивая legacy-логику в современные интерфейсы.
  • Соблюдение принципов SOLID, DI и Hexagonal Architecture для детерминированного исполнения ИИ и минимизации регрессий.
  • Архитектура и поддержка слоя контекста агента: стандартные Skills, Rules и Commands для ИИ-рабочих процессов.
  • Разработка и эксплуатация серверов Model Context Protocol (MCP), экспонирующих legacy API как инструменты, безопасные и пригодные для ИИ.

Skills

Software architecture
Platform engineering
Technical leadership
API design
Distributed systems
MCP/LLM tooling knowledge

Tools

TypeScript
NET
Node.js

Job description

Описание

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.

Задачи
  • 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
  • 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
  • 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
Требования
  • 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
  • Будет плюсом: 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
Условия

Contract, full-time Fully remote from Eastern Europe, working US morning hours (Scrum).

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