ABOUT US

Welcome to Netigate, a dynamic platform at the forefront of revolutionizing employee and customer engagement. Our mission is to provide organizations with the insights they need to foster meaningful interactions and achieve outstanding outcomes. Through our innovative interface and advanced analytics, we enable companies to comprehend and act on feedback from both their workforce and customers. Join our dedicated team and help transform business connections and growth in today’s digital age. Together, we will unlock the full potential of organisational engagement and customer success.

YOUR ROLE AT A GLANCE

You see AI not as hype, but as a powerful tool to create real and lasting impact. You thrive in agile, fast-paced environments where creativity and new ideas can flourish. Driven by curiosity, you’re always looking for smarter ways to solve problems. You work closely with others, bringing them along on the journey, and you take ownership from day one - leading the way rather than waiting for direction. Most importantly, you’re eager to shape both product and strategy, making a tangible difference beyond simply building features.

YOUR KEY RESPONSIBILITIES

• Build smart, scalable, and production-ready AI-driven services using Python.
• Apply the latest AI tools like Claude, Cursor, and GitHub Copilot in your daily workflow.
• Design and optimize hybrid retrieval systems (e.g. vector + BM25) to power LLM-based agents and data lake exploration.
• Work closely with our main development team (React, Node.js) to bring AI capabilities into our product experience.
• Take the lead on new AI initiatives - prototype, test, build, and continuously improve.
• Leverage Azure cloud infrastructure (including pipelines, Infrastructure as Code, etc.) to deploy and manage your work.
• Stay on top of the evolving LLM/AI landscape and help us stay ahead of the curve.
• Build modern agents using LangGraph, MCP, gRPC with a mixture of proprietary and open models.
• Work on scalable data services using Kafka, RabbitMQ and various ELT platforms.
• Build and deploy with Github Action, Azure stack, ArgoCD, Argo Workflows - of course supported by SRE