Alan

fullstack software engineer ops ai platform

In short

Alan, a prevention insurance company serving over 1M members and 40K+ partner companies, is hiring a fullstack software engineer to build its internal Ops AI Platform for creating, evolving, and monitoring AI agents. The role spans backend-focused full-stack engineering, systems architecture, safety/evaluation tooling, and scaling automation to tens of thousands of tasks per day, plus mentoring engineers. Requires 3+ years of product engineering experience with a backend-focused full-stack and systems architecture background; ML/LLM/ML DevOps experience is a plus. It's a remote, full-time contract position with equity and benefits.

About Alan
Alan is building a new standard in prevention insurance. It integrates insurance, prevention, and care into a single user experience, serving more than 1M members and partnering with over 40K companies.
Responsibilities
•Build the Ops AI Platform for internal Ops teams to create, evolve, and monitor AI agents
•Integrate AI agents into internal tools, including context-aware chat interfaces for reviewing agent reasoning and actions and providing follow-up instructions
•Enable non-technical users to create and maintain agents for operational automation, including prompting, tool configuration, testing, datasets, replayability, and evaluations
•Build tools that connect AI agents to internal and external capabilities, including business data, external servers, and web dashboards without APIs
•Develop safety and accuracy features, including robust testing, stateful evaluation, progressive rollout, human-in-the-loop validation, and fine-grained permissions and limits
•Shape the platform architecture, product, and foundation
•Implement new AI agent capabilities and tooling for agent creation, evolution, monitoring, and evaluation
•Scale the system from dozens to tens of thousands of automated tasks per day
•Influence system architecture and code quality
•Mentor engineers, contribute to product and engineering culture, and help build the team, including participating in hiring
Requirements
•3+ years of experience in product engineering
•Strong full-stack software engineering and systems architecture background, with a backend engineering focus
•Product-minded, self-directed, and pragmatic
•Collaborative, enthusiastic about teamwork, learning, and teaching
•Fluent in English
Nice to have: experience with traditional ML, LLMs, or ML DevOps
Conditions
•Contract position
•Generous equity packages complement the base salary
•Home office equipment sponsorship
•Flexible vacation policy and working hours
•Health insurance covering 100% for the employee and children, and 90–100% for partners depending on the country; available for permanent contracts only
•Country-specific commuter benefits
•Flexible training policy, free books, and budget to attend and speak at conferences when applicable
•Coaching from a dedicated coach starting on day one
•Extended parental leave for all new parents

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