Fullstack Software Engineer - Support Area
Role details
Job location
Tech stack
Job description
In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves!
Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of product interaction.
We move fast, with a lot of ownership, and are proud to tackle big problems!
Our process is very simple: those who make product decisions are the same ones who build them.
Our stack is React, Python/Flask, PostgreSQL in a monorepo. If you are not familiar with this stack but are a keen learner, it is totally fine. We deploy daily and believe in distributed ownership - you build it, you own it.
Want to know more? Read this article if you want to discover how life as an Engineer at Alan and this article on our Engineering career path., * Perks & Benefits: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
- A strong culture: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work
Requirements
Do you have experience in Python?, We're looking for Product engineers with at least 3+ years of experience who get excited about building state-of-the-art AI systems and applying them to real-world, high-stakes problems in healthcare.
- You'll implement new conversational experiences, working across engineering, data, and insurance expertise
- You'll work on making our systems and product scale, going from the support of 1M+ members to 10M+ members.
- You'll have significant influence on system architecture and code quality
- You'll mentor engineers, contribute to our product & engineering culture, and help build the team (including participating in hiring, shaping our interview loops, etc.).
You would be a good fit at Alan if most of this sounds like you:
- Strong background in software engineering, systems architecture, with a spike in back-end engineering.
- Experience with traditional ML, or LLMs, or voice AI systems is a big plus
- Product-minded: you want your solutions to be used, impactful and member-centric
- Self-directed and pragmatic
- Humble and still willing to grow (no matter your seniority!)
- Collaborative, enthusiastic about teamwork, learning, and teaching
- Fluent in English (no need to speak French!)