Agentic Systems Engineer – 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 • LithuaniaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in software architecture and platform engineering, focusing on modernizing legacy systems through contract-first API design and adherence to SOLID principles. Proficient in TypeScript, .NET, and Node.js, with a strong emphasis on clean code and deterministic AI execution.

Highest-signal resume keywords

Software ArchitectureTypeScriptAPI DesignTest-Driven DevelopmentAgentic Development

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Applicant Tracking System Keywords

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Hard Skills

TypeScriptNode.js.NETAPI DesignTest-Driven DevelopmentSOLID PrinciplesDependency InjectionHexagonal ArchitectureModular ArchitectureLegacy System Modernization

Soft Skills

Technical LeadershipHigh-Ownership MindsetCollaboration in Distributed Teams

Tools & Technologies

Model Context ProtocolAI-Consumable ToolsAgent Context Layer

Industry Keywords

SaaS TransformationsDistributed SystemsIncremental ModernizationHigh-Ambiguity EnvironmentsProduction-Grade AI

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, including 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
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

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
Experience with remote-first or globally distributed teams (nice to have)
Background in SaaS transformations, scale-ups, or PE-backed environments (nice to have)
Comfort operating in high-ambiguity, high-ownership settings (nice to have)
Availability to work US morning hours (Scrum)

Benefits

Comp & perks

Remote-first, AI-forward team
High ownership, flexibility and impact
Work across multiple products and technologies
Growth pathways across engineering, product and leadership