Overview
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
Full job description
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.
Design, develop, and maintain backend services and RESTful APIs using Python, Django, and DRF or comparable frameworks. Design and evolve clean relational database schemas, relationships, and domain models using PostgreSQL and SQL. Implement backend algorithms and business logic, including scoring, ranking, routing, decision flows, and optimization rules. Build production-ready services with a strong focus on correctness, maintainability, reliability, and ease of iteration. Optimize backend performance through efficient database queries, indexing strategies, caching, and appropriately lean API responses. Collaborate with product and engineering stakeholders to translate product concepts into practical technical designs, services, and endpoints. Contribute to backend architecture, coding conventions, reusable patterns, and development practices as the engineering organization evolves. Work independently within a distributed remote team while communicating technical decisions, progress, and challenges clearly. Apply pragmatic engineering judgment to solve problems efficiently in a rapidly evolving product environment. Requirements Strong professional experience developing backend applications with Python and Django. Solid knowledge of relational database modeling, SQL, and PostgreSQL. Hands-on experience designing and implementing RESTful APIs; experience with Django REST Framework or a similar framework is advantageous. Experience developing non-trivial business logic or algorithmic systems, such as scoring, ranking, decision rules, routing, or optimization. Good understanding of backend performance, including query behavior, indexing, caching, and avoiding common database and service-level bottlenecks. Ability to write clean, pragmatic, production-ready code that is easy to understand, maintain, test, and evolve. Comfortable working independently in a remote environment with a high degree of ownership and accountability. Strong communication and collaboration skills, particularly when working with distributed teams and ambiguous requirements. A startup-oriented mindset, with the ability to move quickly, make practical decisions, and adapt solutions based on real-world feedback. Experience with algorithms, optimization, or data-intensive systems is a plus. Production experience with Google Cloud Platform (GCP) is advantageous. Familiarity with Redis for caching or queues and PostgreSQL at scale is a plus. Exposure to Docker, Kubernetes, or serverless architectures on GCP is beneficial. Experience gained in startups, side projects, or hackathons involving rapid delivery of practical solutions is also valued. Benefits Fully remote position open to candidates based in India. Opportunity to work on AI- and algorithm-driven backend systems. End-to-end ownership of meaningful backend features and technical solutions. International collaboration within a distributed, multicultural engineering environment. Opportunity to influence backend architecture, engineering standards, and development practices. Fast-paced, product-focused environment with significant autonomy and opportunities to iterate quickly. Exposure to technologies including Python, Django, PostgreSQL, GCP, Redis, Docker, Kubernetes, and AI/algorithmic systems. $100 bonus opportunity upon successful completion of the assessment, subject to the applicable assessment process and requirements. Potential to contribute to a growing product and take on increasing technical responsibility.
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