On-Site AI Modernization Architect

Phexum

Fatih

On-site

TRY 850,000 - 1,150,000

Full time

14 days+
Application generator

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Job summary

Phexum seeks an AI Modernization Developer/Consultant to transform legacy software using modern AI technologies. You will design LLM and MCP integration architectures, build secure bridges between traditional systems and AI services, and work on-site at client locations, with travel as needed to deliver innovative modernizations.

Role requires hands-on experience with LLMs, MCP, and microservices, plus a strong problem-solving mindset to engineer practical, scalable solutions for diverse client

Qualifications

  • Willing to travel locally and out-of-town for client projects.
  • Solid grasp of networking, microservices, and containerization basics.
  • Hands-on with or capable of quickly designing LLM/MCP integration solutions.
  • Analytical thinker capable of engineering practical, sustainable technical solutions.

Responsibilities

  • Analyze client legacy systems and infrastructures to design LLM and MCP integration architectures.
  • Build secure, high-performance bridges between traditional systems and modern AI services using HTTP, TCP, API Gateways, and Docker.
  • Generate technical proposals and lead modernization initiatives for legacy applications with AI capabilities.
  • Work actively on-site at client locations to manage modernization and deployment processes.
  • Diagnose bottlenecks during integration and architect custom solutions aligned with client infrastructure.
  • Collaborate closely with client technical teams to drive end-to-end system modernizations.

Skills

Travel flexibility
Driver's license
HTTP/TCP/API gateways
Docker
LLM & MCP design
Problem solving

Tools

Docker
API Gateways
Microservices

Job description

Phexum seeks an AI Modernization Developer/Consultant to transform legacy software using modern AI technologies. You will design LLM and MCP integration architectures, build secure bridges between traditional systems and AI services, and work on-site at client locations, with travel as needed to deliver innovative modernizations.

Role requires hands-on experience with LLMs, MCP, and microservices, plus a strong problem-solving mindset to engineer practical, scalable solutions for diverse client

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