Backend Engineer

Job Description & Requirements

Note : AI experience is not compulsory, only preferred.

• 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 Dev Ops/MLOps best practices across the team.
• Conduct code reviews, promote engineering excellence, and ensure all deliverables meet security, performance, and maintainability 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, Postgre
  
  SQL) & No
  
  SQL (e.g., Mongo
  
  DB) databases
  
  Testing 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.

• 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.