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

• 4+ 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

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