We’re a remote, product-focused startup building AI- and algorithm-driven systems, and we’re looking for a strong Backend Django Engineer who loves clean data models, well-designed APIs, and clever algorithms. You’ll own core backend features end-to-end: from modeling the data to implementing the logic and exposing it through fast, reliable services that ship to users quickly, working with a small distributed team across several countries.
$100 bonus: After successfully completing the assessment.
What You’ll Do Design and implement backend services and APIs using Python + Django (and DRF or similar).

Model and evolve our domain in the database with clean, well-structured schema s and relationships.

Implement algorithmic/AI logic in the backend (e.g., scoring, ranking, routing, decision rules).

Write pragmatic, production-ready code that’s easy to reason about and iterate on.

Optimize for correctness and performance : efficient queries, smart indexing, and lean responses.

Work with the team to turn product ideas into concrete technical designs and endpoints.

Help shape how we build things: patterns, conventions, and how we ship and iterate as we grow.

What We’re Looking For Strong experience building backend applications with Python + Django .





Solid understanding of relational data modeling and SQL (we use PostgreSQL).

Comfortable designing and building RESTful APIs (bonus if you’ve used DRF or similar frameworks).

Experience working on non-trivial business logic or algorithms (e.g., decision flows, scoring rules, optimization logic).

Good instincts around performance : understanding query behavior, avoiding obvious pitfalls, and using caching when it counts.

A startup mindset : comfortable with ambiguity, moving fast, and iterating based on real-world feedback.

Ability to work independently in a remote environment and communicate clearly.

Bonus Points For Experience in startups, side projects, or hackathons where you’ve had to ship scrappy solutions fast.

Background in algorithms, optimization, or data-heavy systems.

Experience with Google Cloud Platform (GCP) in production.
Familiarity with Redis (caching, queues) and PostgreSQL at some scale.

Exposure to containers and orchestration (Docker, Kubernetes) and/or serverless on GCP.

This role is a central piece of our backend roadmap, and we’re aiming to fill it quickly once we meet the right person.

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📌 Remote Backend Django Engineer – Ai & Algorithmic Systems (Nezahualcóyotl)
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