Senior Full-Stack Software Developer - AI Customer Support

🎭  Role & Team We’re looking to hire a Full-Stack Software Developer with strong AI and product instincts to join our squad — the team building gaiia’s AI-powered customer service agents . Today, Communication Service Providers rely on large teams of customer service representatives (CSRs) to handle support across phone, chat, and email. We believe AI agents can deliver a dramatically better experience: faster, more consistent, available 24/7, and at a fraction of the cost. Your job is to make that real. You will join a small, high-impact team building a turnkey AI agent product purpose-built for telco customer service. Think of it as Agents as a Service : CSPs get a production-ready AI agent that understands their business, handles real customer interactions across every channel, and gets better over time with minimal setup effort on their part. You’ll be building an opinionated, domain-specific product: a CSR agent that comes pre-equipped with deep knowledge of telco operations (billing, plan changes, troubleshooting, service activations) and works out of the box. 📽 What is your team working on? Technically speaking, you will work in a serverless ecosystem of microservices deployed on a cloud infrastructure. gaiia is all-in on TypeScript, with frontend, backend and infrastructure-as-code all leveraging TypeScript. More pragmatically, as part of the AI Customer Support squad, you will have the chance to: Build the core AI agent runtime — the backbone that powers conversations across voice, chat, and email in multiple languages, with real-time access to gaiia’s APIs for account lookups, billing, plan changes, and more. Design and implement the agent configuration experience — how CSPs customize agent behaviour, tone, escalation rules, and business logic for their specific needs. Build quality and observability tooling — dashboards, conversation analytics, and automated evaluation systems that help CSPs understand how their agent is performing and where it can improve. Develop continuous improvement loops — systems that analyze real customer interactions to identify gaps, suggest improvements, and validate changes before they go live. Integrate with omnichannel infrastructure — voice (telephony/IVR), live chat, email, and SMS — so the agent meets customers wherever they are. Design the guardrails and safety layer — ensuring the agent stays within approved boundaries, escalates appropriately, and never takes unauthorized actions on customer accounts. Contribute to evaluation and testing frameworks — automated conversation simulations, regression testing, and A/B testing infrastructure for agent behaviour. 🎖️ Qualifications You have hands-on experience with LLMs, prompt engineering, and AI agent design . You’ve built agentic systems that take real actions. You have strong intuitions about AI product design — you think about failure modes, edge cases, and user trust. Proven experience building with…