Description review

Remote Backend Django Engineer – AI & Algorithmic Systems

Spotter Labs · Argentina, Colombia, India, Mexico, Pakistan · back to the listing

HR standards

71/100

solid

Title ↔ description

83/100

solid

Reads as

Backend Engineer

100% confident

What this role officially is

software developer — ESCO, the EU occupation classification

Software developers implement or program all kinds of software systems based on specifications and designs by using programming languages, tools, and platforms.

Also known as: application developer, application programmer, solutions developer, programmer, software specialist, application software developer

How others title the same work

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Startups

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  • Distributed Systems Engineer Beam
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  • Blaine, WA | CaseLight Systems Inc. (CSI) | Solo Founder | Remote (US Only) | Founding Systems Engineer | FULL EQUITY (30% Stake) Blaine, WA

What the listing never says

  • 19 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

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 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 logicin 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 similarframeworks).

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

• Good instincts aroundperformance: understanding query behavior, avoiding obviouspitfalls, 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 environment and communicate clearly.

Bonus Points For

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

• Background inalgorithms, 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 now1 .
Send us your resume to start the assessment process (and get a chance at the $100 bonus).

Originally posted on Himalayas

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 9 points (from 80 before penalties). Reviewed 21 Sep 2026.