Full Stack Engineer: Platform

Position Overview

At Pareto.AI, we are on a mission to empower top talent around the world to participate in the development of cutting-edge AI models while building a fair and ethical platform. We are seeking a Full Stack Engineer to join our platform engineering team. In this role, you will help build the next‐generation human data collection infrastructure for AI/ML development, drive product strategy, and have a direct impact on our startup’s trajectory. Our current technology stack includes Django 5, Python 3.12, Celery, Redis, React 18.2, and AWS services (Fargate, ECS, RDS).

You’d be a great fit if you thrive in a diverse, cross‐functional environment that values teamwork, curiosity, and a commitment to engineering excellence.

Key Responsibilities

• Develop full-stack solutions from architecture and specifications to live deployments.
• Translate and break down the product roadmap into actionable features.
• Lead user testing sessions with stakeholders for implemented features.
• Ensure optimization, security, and code cleanliness across the platform.
• Contribute to a best-in-class quality pipeline including linting, CI/CD, and usability tests.

Required Qualifications

• Ambition to continuously test and optimize code and queries.
• 2+ years of professional experience with enterprise architecture and a deep understanding of REST/GraphQL API patterns.
• Proficiency in React (or a comparable modern JavaScript framework), with knowledge of Storybook and CSS preprocessors.
• Professional experience with Django.
• Experience with Webpack bundler and build optimizations, or the willingness to learn.
• Knowledge of various database systems (e.g., Postgres).
• Understanding of securing API endpoints and handling microservice architecture challenges.
• Familiarity with product and design lifecycles and effective collaboration with designers and product managers.
• Proven ability to write high-quality, well-tested, and maintainable code.
• Stay updated with current trends and best practices.
• Excellent communication skills and the ability to thrive in a fast-paced environment.

Preferred Qualifications

• Familiarity with GraphQL implementations (such as Apollo, Relay, or Graphene).
• Experience with Celery, Redis, and Webpack.
• DevOps experience, including automated pipelines for building AWS clusters.
• Interest in improving developer tooling for seamless local development environments that mimic production.
• Exposure to data science or data engineering is a plus.