Senior Agentic Systems Architect – TypeScript, .NET, MCP

Work Life Group

. Decompose legacy monoliths into agent-readable, modular systems with strict boundaries and single responsibility .

Posted 10/24/2026full-timeRemote • Bosnia & HerzegovinaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in software architecture and platform engineering, focusing on modernizing legacy systems through contract-first API design and adherence to SOLID principles. Proven ability to lead teams in high-ambiguity environments while ensuring scalability, security, and maintainability of AI-driven solutions.

Highest-signal resume keywords

Software ArchitectureTypeScriptAPI DesignTest-Driven DevelopmentAgentic Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software ArchitecturePlatform EngineeringTypeScriptNode.js.NETAPI DesignModular ArchitectureTest-Driven DevelopmentLegacy System ModernizationAgentic Development

Soft Skills

LeadershipHigh-Ambiguity ComfortOwnership

Tools & Technologies

Model Context ProtocolAI-Generated Pull RequestsDistributed Systems

Industry Keywords

SaaS TransformationsPE-Backed EnvironmentsIncremental ModernizationStrangler PatternHexagonal Architecture

Tech Stack

Tools & technologies

Distributed SystemsJavaScriptNode.jsTypeScript.NET

About the role

Key responsibilities & impact

Decompose legacy monoliths into agent-readable, modular systems with strict boundaries and single responsibility
Lead incremental modernization using the Strangler Pattern and wrap legacy logic in modern, contract-driven interfaces
Enforce SOLID principles, Dependency Injection, and Hexagonal Architecture for deterministic AI execution and low regression risk
Architect and maintain the agent context layer with standardized Skills, Rules, and Commands
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 between human intent and autonomous agent execution
Act as architectural gatekeeper for AI-generated pull requests
Ensure scalability, security, and long-term maintainability
Mandate test-driven development (TDD) and characterization testing during refactoring
Monitor and optimize agentic reasoning loops for cost, speed, and architectural integrity

Requirements

What you’ll need

7+ years in software architecture, platform engineering, or technical leadership
Proven experience modernizing large, undocumented legacy systems
Strong 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
Experience with remote-first or globally distributed teams is nice to have
Background in SaaS transformations, scale-ups, or PE-backed environments is nice to have
Comfort operating in high-ambiguity, high-ownership settings is nice to have

Benefits

Comp & perks

High ownership, flexibility and impact
Work across multiple products and technologies
Growth pathways across engineering, product and leadership
Remote-first work arrangement
Contract, full-time engagement