Zinkworks is a trusted partner to Telecoms and Financial Services organizations around the world.
We help modernize legacy systems, move mission-critical systems into the cloud, and exploit the power of AI-driven automation.
Our people thrive in technically complex environments where our commitment to quality and our expertise in software innovation and cutting-edge technologies helps our clients prepare for the future, accelerate growth and improve operational efficiency.
We build long-lasting relationships with our customers to accompany them through their innovation journey.
About Zinkworks Zinkworks partners with leading Telecommunications and Financial Services organizations to modernize legacy systems, migrate mission-critical platforms to the cloud, and engineer AI-driven automation.
From OSS transformation to rApp development and network intelligence, our teams simplify complexity and turn it into competitive advantage.
Based in Ireland and operating across the EU, UK, and US, Zinkworks combines deep domain expertise with delivery excellence to help clients modernize faster and operate smarter.
The Opportunity We are partnering with a major UK Telecommunications provider to deliver their flagship "Agentic AI" transformation programme .
Operating from our Innovation Hub in Athlone, we are building a "CTO 2.0" ecosystem, moving our client from legacy, manual workflows to an intelligent, automated operating model powered by Autonomous AI Agents .
We are seeking a Senior Full Stack GenAI Developer who can take high-level architectural designs and turn them into production-ready software.
You will build across the full application lifecycle, from a React-based "Agentic Canvas" frontend to Python services that orchestrate complex RAG pipelines and agentic workflows on Google Cloud Platform (GCP) .
This is a hands-on engineering role at the cutting edge of applied GenAI, focused on building real systems that operate critical national infrastructure.
The Role You will work closely with AI Architects, Solution Architects, DevOps Engineers, and Telecom SMEs to design and implement AI-powered applications that move beyond chatbots into tool-using, multi-step autonomous agents .
You will be responsible for building robust, scalable, and secure systems that integrate AI models with real enterprise data and operational systems.
Key Responsibilities Build the Agentic Canvas: Develop a rich, interactive frontend using React, Next.js, and TypeScript, enabling users to configure, supervise, and interact with AI Agents.
Develop RAG Pipelines: Design and implement backend services in Python (FastAPI) to ingest, chunk, embed, and retrieve unstructured data such as PDFs, network schematics, and documentation.
Agent Orchestration: Implement agentic workflows using frameworks such as LangChain, LangGraph, or Vertex AI Agent Builder, enabling multi-step reasoning and tool execution.
Prompt Engineering