Backend Django Engineer – AI & Algorithmic Systems

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Backend Django Engineer – AI & Algorithmic Systems based in India.

This is a fully remote backend engineering role within a fast-moving, product-focused environment.
You will build core backend services that support AI- and algorithm-driven products and workflows.
The role combines Python and Django development with data modeling, API design, and algorithmic business logic.
You will own features end-to-end, from database design through implementation, optimization, and production delivery.
The position offers significant autonomy and the opportunity to influence engineering patterns, conventions, and development practices.
You will collaborate with a distributed international team and turn evolving product ideas into reliable technical solutions.
The ideal environment is pragmatic, iterative, and focused on shipping high-quality software quickly.

Accountabilities
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Design, develop, and maintain backend services and RESTful APIs using Python, Django, and DRF or comparable frameworks.

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Design and evolve clean relational database schemas, relationships, and domain models using PostgreSQL and SQL.

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Implement backend algorithms and business logic, including scoring, ranking, routing, decision flows, and optimization rules.

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Build production-ready services with a strong focus on correctness, maintainability, reliability, and ease of iteration.

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Optimize backend performance through efficient database queries, indexing strategies, caching, and appropriately lean API responses.

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Collaborate with product and engineering stakeholders to translate product concepts into practical technical designs, services, and endpoints.

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Contribute to backend architecture, coding conventions, reusable patterns, and development practices as the engineering organization evolves.

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Work independently within a distributed remote team while communicating technical decisions, progress, and challenges clearly.

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Apply pragmatic engineering judgment to solve problems efficiently in a rapidly evolving product environment.

Requirements

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Strong professional experience developing backend applications with Python and Django.

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Solid knowledge of relational database modeling, SQL, and PostgreSQL.

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Hands-on experience designing and implementing RESTful APIs; experience with Django REST Framework or a similar framework is advantageous.

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Experience developing non-trivial business logic or algorithmic systems, such as scoring, ranking, decision rules, routing, or optimization.

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Good understanding of backend performance, including query behavior, indexing, caching, and avoiding common database and service-level bottlenecks.

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Ability to write clean, pragmatic, production-ready code that is easy to understand, maintain, test, and evolve.

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Comfortable working independently in a remote environment with a high degree of ownership and accountability.

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Strong communication and collaboration skills, particularly when working with distributed teams and ambiguous requirements.

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A startup-oriented mindset, with the ability to move quickly, make practical decisions, and adapt solutions based on real-world feedback.

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Experience with algorithms, optimization, or data-intensive systems is a plus.

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Production experience with Google Cloud Platform (GCP) is advantageous.

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Familiarity with Redis for caching or queues and PostgreSQL at scale is a plus.

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Exposure to Docker, Kubernetes, or serverless architectures on GCP is beneficial.

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Experience gained in startups, side projects, or hackathons involving rapid delivery of practical solutions is also valued.

Benefits

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Fully remote position open to candidates based in India.

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Opportunity to work on AI- and algorithm-driven backend systems.

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End-to-end ownership of meaningful backend features and technical solutions.

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International collaboration within a distributed, multicultural engineering environment.

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Opportunity to influence backend architecture, engineering standards, and development practices.

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Fast-paced, product-focused environment with significant autonomy and opportunities to iterate quickly.

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Exposure to technologies including Python, Django, PostgreSQL, GCP, Redis, Docker, Kubernetes, and AI/algorithmic systems.

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$100 bonus opportunity upon successful completion of the assessment, subject to the applicable assessment process and requirements.

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Potential to contribute to a growing product and take on increasing technical responsibility.