Remote Backend Django Engineer – AI & Algorithmic Systems

Posted 3 Days Ago
5 Locations
In-Office or Remote
100K-100K Annually
Entry level
Artificial Intelligence • Logistics • Software • Automation
The Role
Build and own backend services, APIs, data models, and algorithmic or AI-driven business logic using Python and Django. Responsibilities include designing relational schemas, implementing RESTful endpoints, optimizing queries and performance, applying caching, translating product ideas into technical designs, and contributing to engineering patterns within a distributed startup team.
Summary Generated by Built In

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. To receive the assessment,
please submit your resume to this job application. If your resume is approved, you'll receive the
assessment afterwards.

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.

Send us your resume to start the assessment process (and get a chance at the $100 bonus).

Skills Required

  • Strong experience building backend applications with Python and Django
  • Understanding of relational data modeling and SQL
  • Experience with PostgreSQL
  • Experience designing and building RESTful APIs
  • Experience with non-trivial business logic or algorithms
  • Understanding of query performance, indexing, and caching
  • Ability to work independently in a remote environment and communicate clearly
  • Startup, side project, or hackathon experience
  • Background in algorithms, optimization, or data-heavy systems
  • Production experience with Google Cloud Platform
  • Familiarity with Redis for caching or queues
  • Experience with containers and orchestration, including Docker or Kubernetes
  • Experience with serverless systems on Google Cloud Platform
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The Company
10 Employees
Year Founded: 2019

What We Do

Spotter.ai is an AI-powered freight technology company serving trucking carriers, fleet operators, and owner-operators across North America. Its integrated platform supports freight-market intelligence, recruiting, load optimization, transportation management, dispatch workflows, safety and compliance monitoring, and load-board automation. By combining real-time data with automation, Spotter.ai helps fleets improve operational visibility, reduce downtime, increase safety, and make more efficient, profitable decisions every day.

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