About Teamified
Teamified works with top enterprises and digital native businesses in Australia helping them build their remote teams in India, Philippines and Sri Lanka. We pride ourselves with hiring great teams to work on exciting game changing technology. Teamified currently has 200+ engineers, testers, product managers etc. working across 20+ partners. We focus on uplifting the way organisations build and manage their remote teams through great working relationships, trust, integrity, culture and hiring processes. Additional to this we are building our own technology product offerings. We strive to deliver the best outcomes for our customers, our partners and our people.
About our Client:
Our Client helps teams improve performance and wellbeing by turning survey and timesheet data into actionable insights using cutting-edge AI technology. They are building an intelligent engine that detects signals, recommends actions, and automates workflows across safety, engagement, and productivity. They offer startup excitement with established business stability. They're at an exciting inflection point - transitioning from agency support to a fully internal engineering team while scaling revenue growth. They are investing heavily in AI-driven development workflows - specifically leveraging the BMAD Method (Breakthrough Method for Agile AI-Driven Development) and similar frameworks to optimize our development processes through specialized AI agents for planning, architecture, and implementation.
About the Role:
We're looking for a Mid-level Fullstack Engineer (backend-focused) who enjoys building reliable systems and is excited to work with AI-enhanced development workflows. You'll work closely with our Lead Engineer and CTO, focusing primarily on backend development while contributing to frontend features when needed.
This role is ideal for an engineer with strong Ruby on Rails experience who wants to deepen their backend expertise while gaining more exposure to fullstack development and AI-driven features. You'll help build scalable APIs, data processing systems, and contribute to integrating AI/LLM capabilities (Claude, Gemini) into our platform.
Key Responsibilities:
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