About Alan
Alan integrates insurance, prevention, and care into a single user experience. It is building a new standard in prevention insurance, partnering with over 40,000 companies and serving more than 1 million members.
Responsibilities
•Build infrastructure, interfaces, and applications for members, health professionals, and internal users
•Develop Hopper, an internal agentic AI platform and productivity tool for coding, data, automation, research, and everyday work
•Build reusable components for agent orchestration, isolated execution, skills, connectors, permissions, audit, and evaluations
•Develop durable AI sessions for coding, data analysis, automation, and general work across the web, Slack, Linear, and GitHub
•Build agent runtime and orchestration capabilities, including a control plane, harness, model routing, long-running execution, recovery, and isolated sandboxes
•Develop an MCP Gateway to manage identity, credentials, permissions, confirmations, sensitivity, and audit
•Build reusable workflows, scheduled or event-driven automations, dashboards, and hosted tools
•Develop evaluations and review experiences that expose tests, screenshots, previews, queries, sources, and tool actions
•Scale Hopper and the infrastructure behind it, including managed agent pools, sandboxed environments, autonomous testing, and CI auto-fix
•Own work end to end, from React interactions or API contracts to production reliability
Requirements
•3+ years in full-stack software engineering roles
•Experience building products, internal platforms, frameworks, or infrastructure used by others
•Depth in at least one relevant area: AI agents and evaluations, developer platforms, high-quality product UX, distributed systems and runtimes, or security and authorization
•Think about both product and platform experience, treating people across engineering, product, data, sales, and operations as customers
•Care about whether people can understand and verify what an AI system did
•Make tradeoffs between speed, reliability, cost, security, and user experience
•Simplify complexity with clear abstractions and maintainable code
•Be collaborative, humble, and motivated by enabling others
•Be excited about AI changing who can build, investigate, and automate work
•Fluent in English; French is not required
Nice to have
•Experience with LLM APIs, agent harnesses, MCP, or AI-assisted coding tools
Conditions
•Contract
•Perks and benefits are provided, along with a stimulating work environment
•Alan has an innovative working method and cultural values that guide its approach to work
