Backend Engineer

Job Description & Requirements

Note : AI experience is not compulsory, only preferred.

Responsibilities

• Design and build modular, portable, production ready code that runs on any cloud (AWS, GCP, Azure) or on premise.
• Re engineer our existing platform to turn complex business and retail needs into reusable, scalable components.
• Create AI driven modules that integrate research models into reliable, scalable business solutions.
• Drive feature cycles, enforce architecture patterns, coding standards, and DevOps/MLOps best practices across the team.
• Conduct code reviews, promote engineering excellence, and ensure all deliverables meet security, performance, and maintainability requirements.

Requirements

• Bachelor's or Master's in Computer Science, AI, Operations Research, or a related field.
• 4+years building and shipping software systems.
• Experience provisioning infrastructure as code on at least one major cloud provider.
• Comfortable deploying software in cloud and on prem environments using Docker, Kubernetes, and CI/CD pipelines.
• Background designing microservices, APIs, and system architectures.
• Strong Python skills and familiarity with:SQL (MySQL, PostgreSQL) & NoSQL (e.g., MongoDB) databasesTesting frameworks such as PyTest for unit/integration testing
• Experience deploying AI models to production, using orchestration tools (Airflow, Prefect, Ray, etc.) and reporting tools (Tableau, Holistics) is a plus.
• Prior work on inventory optimization, demand forecasting, or supply chain AI solutions is a plus.

What We Offer

• Ownership of a core AI product from day one, shaping its direction.
• A collaborative, innovation first culture that values speed, integrity, and technical depth.
• Competitive compensation.