React Engineer

Remote

Full-time

Job Description

This job posting has expired and no longer accepting applications.

WoPa.ai (Work Paths to Work Passion) is an AI Career Companion leveraging cutting-edge technology and artificial intelligence to help professionals define, plan, and find their best careers, their Ikigai.

For the first time, Gen AI allows us to spearhead a mission dedicated to fostering not just better, but more fulfilling and highly productive careers. This endeavor goes beyond personal aspirations; it is a collective commitment to reshaping our well-being and optimizing the collective utilization of human talent within our civilization. Join us in shaping a future where work is not just a means of livelihood but a source of profound satisfaction and accomplishment.

Our vision is supported and funded by AI Fund, founded by Dr. Andrew Ng, a venture studio backed by NEA, Softbank, Sequoia, and Greylock, that bridges AI technology and critical applications.

We seek an exceptional and self-motivated Frontend (or Full-Stack) Software Engineer to join our core engineering team. The ideal teammate is an experienced professional looking to take complete ownership of the development of a new AI-based web app. Since you’ll be joining an early-stage startup at the ground level, you’ll need to be able to wear multiple hats and thrive while working in a dynamic environment. This is a remote role based in LATAM.

Responsibilities For the Role Include:

Collaborate with the Product Management team to provide feedback and new ideas on UX, design and the overall functionality. We want everyone on the team to obsess over customers and our product.

Leveraging latest technologies and best practices in the Reach / TypeScript tech stack to rapidly build a responsive, performant and user-friendly experience.

Working closely with a team of backend developers to design the supporting APIs (or contribute to their development directly).

Following agile processes with a focus on delivering production-ready testable code in small iterations.