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) 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.

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.

Backend Engineer ( Infrastructure )