About The Position
We are building something that doesn't exist yet: a platform where AI agents autonomously handle operational work, connected to every internal and external tool, trained by operators themselves, and running safely at scale. This Ops AI Platform will allow our Ops team to create, evolve, and monitor their own AI agents to automate thousands of tedious tasks, aiming to solve problems at an unprecedented scale. The project has just launched, and you would join at ground zero, shaping the architecture, product, and entire foundation. Our mission is to create a platform that enables building accurate and reliable AI agents, delivering an outstanding experience to our internal Ops team for the creation, iteration, and monitoring of their agents, without requiring hard technical skills. We are working on integrating agents into internal tools with context-aware chat modals, empowering non-technical users to become autonomous in agent creation and maintenance, building a comprehensive set of tools for AI agents, and ensuring safety and accuracy at the core through robust testing and human-in-the-loop validation. In 6 to 12 months, we plan to expand our scope to power all agentic use cases at Alan, creating economies of scale through common infrastructure and tooling.
Requirements
- Product engineers with 3+ years of experience.
- Excited about building state-of-the-art AI systems and applying them to real-world, high-stakes problems in operations.
- Experience at the frontier of LLMs, tool calling, human-in-the-loop, internal tools UX, multi-agent architectures.
- Strong background in full-stack software engineering, systems architecture, with a spike in back-end engineering.
- Product-minded: you want your solutions to be used, and impactful.
- Self-directed and pragmatic.
- Humble and still willing to grow (no matter your seniority!).
- Collaborative, enthusiastic about teamwork, learning, and teaching.
- Fluent in English.
Nice To Haves
- Experience with traditional ML, or LLMs, or ML dev ops is a big plus.
Responsibilities
- Implement new capabilities for AI agents.
- Develop tooling to make operations autonomous in the creation, evolution, monitoring, and evaluation of their agents.
- Work on making our system scale, going from a few dozen to tens of thousands of tasks automated daily.
- Have significant influence on system architecture and code quality.
- Mentor engineers, contribute to our product & engineering culture, and help build the team (including participating in hiring).
Benefits
- Generous equity packages complement your base salary.
- Flexible Office: Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship.
- Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and noise-canceling headphones.
- Flexible vacation policy and flexible working hours.
- Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only).
- Country-specific commuter benefits.
- A highly flexible Training policy: free books and budget to attend and speak at conferences if the opportunity arises.
- Personal growth through coaching: Every Alaner is paired with a dedicated coach from day one.
- Extended parental leave for all new parents.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
