healf - Lead Backend AI Engineer - Developer Platform
Requirements
• Hands-on experience building and operating core platform systems such as Identity, Authentication, Authorization, and shared backend infrastructure. • Hands-on experience developing AI agents and automation systems for engineering workflows including coding, debugging, testing, incident management, and developer productivity. • Strong architecture instincts; able to quickly reason through complex system design problems and make sound technical trade-offs. • Strong backend engineering experience with AWS and excellent proficiency in Python. • Experience with AI orchestration frameworks and tooling such as LangGraph, LangChain, or similar agent-based development frameworks. • Experience building and maintaining CI/CD pipelines, automated testing infrastructure, and modern software delivery systems at scale. • Comfortable balancing deep individual contributor work with mentoring and supporting other engineers. • Experience at a developer tooling, infrastructure, platform, or AI-first company. • Experience building internal developer platforms or engineering productivity systems. • Competitive and meaningful compensation package for the right person. We ask a great deal of the people who work here. We expect full ownership and a genuine commitment to give this chapter everything you have. • In return, we will give you the same: everything we have, invested in your growth, your wellbeing, and the defining skills of the next decade. • We have built the fastest-growing company in Europe with a team small enough that every person in it shapes the outcome. That is still true today. The next person we hire will change the trajectory of the company. • IF THE MOST IMPORTANT WORK OF YOUR CAREER IS AHEAD OF YOU, THIS IS THE PLACE TO DO IT.
Responsibilities
• Architect and Build: Core platform services including Identity, Authentication, Authorization, and other foundational backend systems used across engineering teams. • AI Agents / Harnesses: Build AI agents and developer productivity tooling to accelerate coding, automate bug fixing through Slack and Linear, enable AI-powered QA testing, and drive intelligent incident monitoring and resolution. • Own: The core engineering infrastructure, ensuring scalability, reliability, security, and ongoing cost optimization. • Set the Technical Foundation: Define key architectural decisions across the technology stack, deployment model, platform architecture, and data systems. • Lead / Mentor: Mentor junior engineers and help establish engineering best practices, technical excellence, and a high-performance culture.
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