Remote Backend Django Engineer – AI & Algorithmic Systems

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.

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 schemas 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. If it resonates with you, go ahead and apply now.