Fullstack Software Engineer

• Build the AI-powered internal platform that every Alaner uses daily to navigate the company, find context, and take action.
• Design and ship intelligent agents that automate real organizational workflows: onboarding, knowledge retrieval, performance alignment, decision support.
• Push LLMs into production for structured reasoning, agentic task execution, and deep integration with internal tools.
• Define the primitives and abstractions of AI-native work, the patterns that scale across every team and every country Alan operates in.
• Replace generic tools (HRIS, performance reviews, IAM) with opinionated, Alan-native software that compounds with our culture.
• Build and scale our Identity & Access Management (IAM), Privileged Access Management (PAM), and user lifecycle across 25+ systems.
• Collaborate with product, design, security and leadership to turn Alan's cultural principles into software that amplifies them.

Why this role is special

• Alan's written, transparent, async culture generates an extraordinary volume of structured organizational knowledge. Most companies can't feed AI agents with high-quality internal data. Alan already can.
• The team is building a full AI-native operational layer from scratch, not adding copilots to legacy tools.
• Every Alaner uses what you ship, every day. The feedback loop between building and impact is immediate.
• The work sits at the frontier of applied AI: agents, retrieval-augmented generation, structured outputs, tool use, human-in-the-loop design.
• The ambition goes beyond Alan. The patterns you build here could define how high-performance companies operate in the AI era., * Stack: Python/Flask, React, PostgreSQL, plus deep integration with LLM APIs and internal AI infrastructure.
• What you'll do: design and ship AI-native tools that power how Alan works. automated workflows, organizational navigation, agentic assistants.
• Impact: your work shapes the daily experience of every Alaner and builds the playbook for the AI-native company.

• Software engineers of all experience levels, ideally with backend or full-stack experience.
• Genuinely excited about AI and eager to explore what LLMs, agents, and retrieval systems can do inside a real product.
• Comfortable building in fast-moving territory where the right abstractions don't exist yet.
• Well-versed in OOP languages (Python, Java, C#) and modern web technologies.
• Fluent in English (French is a plus but not required).
• Curious, self-starting, humble, collaborative, and eager to grow.