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Spotter LabsSL

Remote Backend Django Engineer – AI & Algorithmic Systems

Spotter.Ai leverages artificial intelligence to detect and manage disruptions in the e-commerce supply chain and trucking industry, helping businesses optimize delivery performance and ensure customer satisfaction.

Spotter Labs

Employee count: 11-50

United States only

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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 a second assessment. To receive the first
assessment, please submit your resume to this job application. If your resume is approved, you’ll receive the assessments afterwards.

What You’ll Do

  • Design and implement backend servicesand 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 ofrelational data modelingandSQL(we use PostgreSQL).
  • Comfortable designing and buildingRESTful APIs(bonus if you’ve used DRF or similar frameworks).
  • Experience working onnon-trivial business logic or algorithms(e.g., decision flows, scoring rules, optimization logic).
  • Good instincts aroundperformance: understanding query behavior, avoiding obvious pitfalls, and using caching when it counts.
  • Astartup mindset: comfortable with ambiguity, moving fast, and iterating based on real-world feedback.
  • Ability to workindependently in a remote environmentand communicate clearly.

Bonus Points For

  • Experience instartups, side projects, or hackathonswhere you’ve had to ship scrappy solutions fast.
  • Background inalgorithms, optimization, or data-heavy systems.
  • Experience withGoogle Cloud Platform (GCP)in production.
  • Familiarity withRedis(caching, queues) andPostgreSQLat some scale.
  • Exposure tocontainers and orchestration(Docker, Kubernetes) and/or serverless on GCP.

This role is acentral 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).

About the job

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Posted on

Job type

Full Time

Experience level

Mid-level
Senior

Location requirements

Hiring timezones

United States +/- 0 hours

About Spotter Labs

Learn more about Spotter Labs and their company culture.

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Many businesses in the e-commerce and logistics sectors grapple with the daily challenge of ensuring their products reach customers on time and efficiently. Unforeseen disruptions, such as extreme weather events or sudden traffic congestion, can wreak havoc on finely tuned delivery schedules, leading to frustrated customers, increased operational costs, and damage to brand reputation. Planners struggle to maintain on-time delivery commitments with unpredictable variables, operations managers find it hard to optimize delivery sequencing, and dispatch teams are constantly firefighting to adapt to route disruptions. These challenges are precisely why Spotter.Ai was founded: to provide a proactive solution that empowers companies to navigate the complexities of modern supply chains.

Spotter.Ai offers an intelligent platform designed to protect customer satisfaction from the chaos of last-mile delivery. Our customers face a volatile environment where real-time information and predictive insights are paramount. We address this by leveraging cutting-edge artificial intelligence to detect potential disruptions early, allowing operations teams to respond proactively rather than reactively. The system monitors a multitude of external signals, including weather patterns, traffic conditions, and other critical events, to anticipate risks to delivery schedules. This enables intelligent adjustments to carrier selection, warehouse operations, and route planning. By integrating seamlessly with existing Transportation Management Systems (TMS) and Enterprise Resource Planning (ERP) systems, Spotter.Ai ensures rapid deployment and immediate value. Our focus is on empowering planners with predictive insights, helping operations managers optimize sequencing, and providing dispatch teams with intelligent alternatives to overcome disruptions. Ultimately, Spotter.Ai helps businesses deliver on every promise, cut transportation costs, turn dispatch into a competitive advantage, and scale their operations efficiently, making transportation smarter, safer, and more sustainable for everyone involved. We are committed to revolutionizing the trucking industry by enhancing efficiency and empowering trucking professionals through technology.

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Spotter Labs

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Spotter Labs hiring Remote Backend Django Engineer – AI & Algorithmic Systems • Remote (Work from Home) | Himalayas