- Building web applications from scratch
- Experience with start-ups
- 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)
- HR interview from Alcor's side (30 mins);
- A quick casual conversation with CEO or CTO 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).
- 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;
- A close-knit team with substantial autonomy;
Senior Full Stack Engineer at DiploAI - México - Brynner
Descripción
DiploAI is a early-stage startup based in New York. We're dedicated to speeding up the pace of innovation. We do this with an end-to-end Generative AI solution that identifies all regulations that are relevant to any product in development (e.g., a new electric vehicle). We develop algorithms at the forefront of ML trends – using LLMs to operate on the vast amount of unstructured data and making it understandable to engineers across the world.
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
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.