About Us

At

Pareto.AI

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, we’re on a mission to enable top talent around the world to participate in the development of cutting-edge AI models.

In coming years, AI models will transform how we work and create thousands of new AI training jobs for skilled talent around the world. We’ve joined forces with top AI and crowd work researchers at Character.AI, Imbue, Stanford, and UPenn to build a fair and ethical platform for AI developers to collaborate with domain experts to train bespoke AI models.

As a fully remote and global venture-backed startup headquartered in San Francisco, we have a 20-member core team and a 150-member operations team.

About This Role

We’re seeking a Full Stack Engineer to join our 5-member engineering team. You’ll play a pivotal part in developing the next-generation human data collection infrastructure for AI/ML development, driving product strategy, and directly impacting our startup trajectory.

You'd Be a Great Fit At Pareto If

You value dedicated teamwork, respect, and curiosity, as well as navigating communication in cross-functional, culturally diverse environments.

Engineering excellence is your pursuit, demonstrated by your solid understanding of modern front-end technologies (React) and back-end libraries (Django).

You are not content with the status quo and consistently seek innovative solutions to existing problems, with a commitment to personal and collective growth.

Key Responsibilities

Full-stack development from architecture and specifications to live deployments.

Ability to understand translate, breakdown and estimate the product roadmap into features.

Lead user testing sessions with stakeholders on some of the features you implement.

An understanding of optimization, security and an eye for code cleanliness.

Contribute to maintaining a best-in-class quality pipeline, encompassing Linting, CI/CD, and usability tests.

What You’ll Need

Ambition to be consistently testing and optimizing 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 recent JavaScript Framework, as well as knowledge of Storybook and CSS preprocessors.

Professional experience with Django

Experience with Webpack bundler and optimizing builds, or the ambition to jump in and learn.

Knowledge of different database systems (RDBMS) — we use Postgres

Understanding of securing API endpoints and microservice architecture challenges.

Familiarity with product and design lifecycles, collaborating with designers and product managers.

Proven ability to write high-quality, well-tested, and maintainable code.

Familiarity with current trends and best practices.

Excellent communication skills and ability to work in a fast-paced environment.

Nice To Have

Familiarity with GraphQL — such as usage of Apollo, Relay or Graphene.

Familiarity with Celery, Redis, Webpack.

Dev ops experience — we have automated pipelines that build AWS clusters.

Familiarity with or an interest in improving developer tooling — we’re currently running a one-command setup for a full-blown local dev environment that mimics prod!

Exposure to data science or data engineering.

More About The Role

Ground floor opportunity at a venture-backed startup.

International and dynamic work environment with flat hierarchies and space for ownership.

Challenging and diverse projects for continuous growth.

Competitive salary and equity package.

Annual stipend to support home office needs.

Medical insurance reimbursement.

We’re a remote-first company with an engineering team spread across the US, Africa and Latin America with a greater team that extends to Asia too. To make this work, we have core collaboration hours set from 8am to 1pm PST during which we have our stand-ups, planning meetings or retros.

Backend

Our stack:

Django 5

Python 3.12

Celery

Redis

Frontend

React 18.2

Infra (AWS)

Fargate

ECS

RDS

Our Engineering Interview Process

Cultural interview with CEO.

Technical interview with engineering team, including a technical challenge and discussion of past experiences.

Short technical challenge followed by a presentation to the core team.

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