Python Developer (PRISM – AI-Powered Design-to-Pricing Platform)

We are building an AI-powered design-to-pricing platform for one of the leading textile manufacturers. The AI platform integrates material inventory, market intelligence, AI-generated collections, dynamic pricing, ESG tracking, and automated proposal generation into a single end-to-end workflow. As a Python Developer on this project, you will architect and build the backend services, data pipelines, and AI integration layers that power the platform.

Experience: 3–5 Years

Location: Kolkata

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Key Responsibilities:

• Design, develop, and maintain backend services and REST APIs using FastAPI for the platform, covering modules such as material inventory indexing, research engines, pricing engines, and proposal generation.
• Build and optimize data ingestion pipelines for SAP ERP exports, Excel/Google Sheets feeds, and third-party integrations (WGSN trend data, Nitva export data, pricing intelligence sources).
• Develop the AI/ML integration layer connecting image generation APIs (for mood boards, styling, and collection creation), NLP services, and recommendation engines into the platform workflow.
• Implement the cost master and dynamic pricing engine, handling complex calculations for knitting, dyeing, print, embroidery, and making costs with margin targets and brand-specific rules.
• Build the data layer for the ESG impact matrix, capacity planning views, order book analytics, and delivery scheduling modules.
• Design and maintain PostgreSQL database schemas, ensuring efficient querying for search and discovery, analytics dashboards, and reporting features.
• Integrate with Elasticsearch for material search and discovery across yarn, fabric, colour, and garment data.
• Collaborate with front-end developers (Next.js) on API contracts, and with the AI/ML engineer on model serving and inference pipelines.
• Write automated tests (unit, integration, contract tests) and participate in cross-team integration testing with the client’s data systems.
• Contribute to CI/CD pipeline setup, deployment automation, and production monitoring on AWS/GCP infrastructure.

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Required Skills & Qualifications:

• 3–5 years of professional Python development experience building production backend systems.
• Strong proficiency with FastAPI or similar async Python frameworks (Flask, Django REST Framework).
• Solid experience with PostgreSQL – schema design, query optimization, migrations, and indexing strategies.
• Hands-on experience building and consuming RESTful APIs, including API versioning, authentication (JWT/OAuth), and RBAC implementation.
• Experience with data ingestion and ETL pipelines – processing CSV, Excel, JSON feeds from ERP systems or external APIs.
• Familiarity with Elasticsearch or similar search engines for full-text and faceted search.
• Working knowledge of cloud platforms (AWS or GCP) – compute, storage, networking, and managed database services.
• Experience with Docker, CI/CD tools (GitHub Actions, GitLab CI, or similar), and infrastructure-as-code basics.
• Strong understanding of software design patterns, clean code principles, and test-driven development.
• Excellent communication skills and comfort working in a cross-functional team with weekly client standups.

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Preferred Qualifications:

• Experience integrating AI/ML APIs (image generation, NLP, or recommendation systems) into production applications.
• Prior work with SAP data structures or ERP system integration.
• Exposure to the textile, fashion, or manufacturing domain.
• Experience with Celery or similar task queues for asynchronous processing.
• Knowledge of QR code generation, PDF/document generation libraries (ReportLab, WeasyPrint).
• Familiarity with Next.js or modern frontend frameworks (for effective API collaboration).
• Complimentary Breakfast, Evening Snacks & Subsidise Lunch at Office.

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Tech Stack:

• Backend Framework: FastAPI (Python 3.11+)
• Database: PostgreSQL, Elasticsearch
• Cloud & Infra: AWS / GCP, Docker, CI/CD pipelines
• Frontend (API collab): Next.js (React)
• AI/ML Integration: Image generation APIs, NLP services, model serving
• Data Sources: SAP ERP, WGSN, Nitva, Excel/GSheets, CLO 3D
• Auth & Security: JWT, OAuth, RBAC
• Tools: Git, Slack/Teams, Jira/Linear, Postman

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Interview Process

• Application review
• 5–10 minute initial screening call with the TA team
• Technical interviews {Domain specific}
• ‍Practical test conducted in the presence of a panel member
• ‍Role match & offer