Salary: $60,000 to $102,000 USD / year
Model: Remote Jobs
Location: Argentina, Chile, Colombia, Ecuador, Mexico, Peru
Stack: AWS, Python, React
Overview of role
You will own parts of the full-stack development of the platforms that will be used by our customers. You will be responsible for developing and maintaining features and analyzing usage and performance to know where improvements can be made. There will be opportunities for you to interface with LLMs and our machine learning engineers, depending on interest.
Requirements
- Building web applications from scratch
- Experience with start-ups
- Strong English level
- Strong React skills
- Strong Python and back-end experience (e.g., setting up servers, database management, authentication)
- Experience with DevOps
- Adaptability: You tackle whatever problem comes your way, even if it is outside of your primary role
- Dependability: You hit deliverable deadlines and communicate when you need help or are at risk of missing something
- Teamwork: You are most effective when working in a low-ego environment, voicing opinions, and collaborating
- Experience with AWS
- Experience or interest in security topics (e.g., penetration testing)
Responsibilities
You will own parts of the full-stack development of the platforms that will be used by our customers. You will be responsible for developing and maintaining features and analyzing usage and performance to know where improvements can be made. There will be opportunities for you to interface with LLMs and our machine learning engineers, depending on interest.
Recruitment Process
- HR interview from Alcorโs side (30 mins);
- A quick casual conversation with CEO or CTO (15-20 min);
- Live coding interview with one of the Full Stack Engineers
- Final interview (with an option for candidates to complete a small project instead of live coding in the final interview).
Benefits
- Be part of the creation of cutting-edge GenerativeAI / LLM tools and contribute to a mission to accelerate innovation at every company
- The opportunity to learn about AI and ML;
- Flexible working hours;
- A close-knit team with substantial autonomy;
- Friendly atmosphere in the team.
