Agentic Systems Engineer (TypeScript, .NET, MCP) Remote

Want to design the architecture that lets AI agents safely refactor test and ship production code Then lets 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 youll 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 were looking for

• 4 years in software architecture platform engineering or technical leadership

• Proven experience modernizing large undocumented legacy systems

• Deep hands-on expertise with and

• 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