Remote Backend Django Engineer – AI & Algorithmic Systems

Spotter Labs is a remote, product-focused startup building AI- and algorithm-driven systems. They are hiring a Backend Django Engineer to own core backend features end-to-end, from data modeling through to the logic and services that ship to users. You would work with a small distributed team spread across several countries.

This role sits at the center of the backend roadmap, and the team wants to fill it quickly once they meet the right person.

What you will do

• Design and implement backend services and APIs using Python and Django, along with DRF or a similar framework.
• Model and evolve the domain in the database with clean, well-structured schemas and relationships.
• Implement algorithmic and AI logic in the backend, such as scoring, ranking, routing, and decision rules.
• Write pragmatic, production-ready code that is easy to reason about and iterate on.
• Optimize for correctness and performance through efficient queries, smart indexing, and lean responses.
• Work with the team to turn product ideas into concrete technical designs and endpoints.
• Help shape how the team builds things: patterns, conventions, and how they ship and iterate as they grow.

What they are looking for

• Strong experience building backend applications with Python and Django.
• A solid understanding of relational data modeling and SQL. They use PostgreSQL.
• Comfort designing and building RESTful APIs. Experience with DRF or similar frameworks is a bonus.
• Experience working on non-trivial business logic or algorithms, such as decision flows, scoring rules, or 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.
• The ability to work independently in a remote environment and communicate clearly.

Bonus points for

• Experience in startups, side projects, or hackathons where you had to ship scrappy solutions fast.
• A background in algorithms, optimization, or data-heavy systems.
• Experience with Google Cloud Platform in production.
• Familiarity with Redis for caching and queues, and PostgreSQL at some scale.
• Exposure to containers and orchestration such as Docker and Kubernetes, and/or serverless on GCP.

About the role

This is a remote position open worldwide. The company is a product-focused startup, and the work centers on AI- and algorithm-driven systems. The listing does not state salary, benefits, or hours.