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Web Spiders

Technical Lead - AI-Powered Design-to-Pricing Platform

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Job Description

Web Spiders Group is building an AI-powered design-to-pricing platform for one of India's leading textile manufacturers. The Solution targets to unify material inventory indexing, market intelligence, AI-generated collections, dynamic pricing, ESG tracking, and automated proposal generation into a single end-to-end workflow.

As Technical Lead, you will own the platform architecture end-to-end making critical design decisions across a modern stack (FastAPI

  • PostgreSQL
  • Elasticsearch
  • AWS/GCP
  • Next.js
  • AI/ML APIs) and guiding a cross-functional team of engineers.

Experience: 510 Years

Location: Kolkata



What You'll Own

You are the single point of technical accountability on this platform responsible for architecture, code quality, AI integration, data pipeline design, ERP integration, cross-team API contracts, and hands-on delivery.



Tech Lead Responsibilities

  • Architect unified PostgreSQL + Elasticsearch schema; design SAP ERP ingestion layer; oversee batch import pipelines
  • Define web crawler architecture; lead WGSN/Nitva API integration design; review external data normalisation
  • Design analytics dashboard APIs; define cost master data models; own pricing engine architecture
  • Lead AI image generation pipeline architecture; design model serving & inference layer; define prompt engineering workflows
  • Architect collaboration portal APIs; design annotation & file upload services; define CLO 3D ingestion contracts
  • Design auto-proposal generation engine; architect ESG impact matrix & capacity-aware scheduling backend
  • Own core platform architecture (FastAPI, PostgreSQL, Next.js); define Auth/RBAC; set up CI/CD pipelines; lead AI-native processes
  • Architect QR tracking system; design production transparency data flows



Key Responsibilities



Architecture & Technical Leadership

  • Design and own the platform architecture across all modules from API design and data modelling to AI integration and infrastructure.
  • Define and enforce coding standards, design patterns, and review practices across a team of full-stack, frontend, AI/ML, and QA engineers.
  • Lead architecture decisions for the FastAPI backend, PostgreSQL schema design, Elasticsearch indexing strategy, and AWS/GCP deployment topology.
  • Produce and maintain architecture decision records (ADRs), API specifications, and technical design documents.



Backend & API Development

  • Architect and directly contribute to REST API development using FastAPI (Python), covering all platform modules.
  • Define and oversee API versioning, JWT/OAuth authentication flows, and RBAC implementation across the platform.
  • Design the integration API specifications for SAP ERP data feeds, Excel/GSheets ingestion, and third-party APIs (WGSN, Nitva).
  • Own the cost master and dynamic pricing engine defining architecture for complex calculations covering knitting, dyeing, print, embroidery, and making costs with brand-specific margin rules.



Data Pipelines & ERP Integration

  • Architect the end-to-end data ingestion layer for SAP ERP exports, Excel/GSheets feeds, and external APIs.
  • Define data schemas, transformation logic, and validation pipelines for all data feeds (material master, cost master, order history, capacity, CLO 3D outputs).
  • Lead cross-team integration testing and contract testing against data systems.
  • Design Celery-based or equivalent task queue architecture for asynchronous data processing.



AI / ML Integration

  • Architect the AI/ML integration layer connecting image generation APIs (for mood boards and collection creation), NLP services, and recommendation engines into the platform workflow.
  • Define the model serving and inference pipeline in collaboration with the AI/ML engineer.
  • Lead the AI image generation, and own the end-to-end collection workflow architecture..
  • Evaluate and select AI API providers (image generation, NLP) based on capability, cost, and integration complexity.



Delivery, Quality & Client Engagement

  • Lead sprint demos and weekly stakeholder reviews with client team.
  • Own the dependency tracker with client team ensuring data inputs per the Data Responsibility Matrix are tracked and escalated as needed.
  • Drive automated testing strategy: unit, integration, and contract tests across all services.
  • Own CI/CD pipeline setup, Docker containerisation, and production deployment on AWS/GCP.
  • Serve as the primary technical escalation point for technical issues.



Required Skills & Qualifications

  • At least 3 years of professional Python backend development, with at least 2 years in a technical lead or architect role on production systems.
  • Deep proficiency with FastAPI or equivalent async Python frameworks async patterns, dependency injection, middleware design.
  • Strong PostgreSQL expertise: schema design for complex relational data, query optimisation, indexing strategies, and migration management.
  • Hands-on experience with Elasticsearch or similar search engines: index design, faceted search, relevance tuning.
  • Proven experience designing and building RESTful APIs at scale versioning, authentication (JWT/OAuth), RBAC, and rate limiting.
  • Experience architecting ETL/data ingestion pipelines from ERP systems, Excel/CSV feeds, or external APIs.
  • Working knowledge of AWS or GCP compute, managed databases, object storage, networking, and serverless where appropriate.
  • Experience with Docker, GitHub Actions/GitLab CI, and infrastructure-as-code fundamentals.
  • Strong software design principles: clean architecture, SOLID, TDD, and test pyramid strategy.
  • Excellent communication skills for leading a cross-functional team and participating in client-facing weekly standups with a C-suite stakeholder.



Preferred Qualifications

  • Experience integrating AI/ML APIs image generation (Stable Diffusion, DALL-E, Midjourney API), NLP services, or recommendation systems into production platforms.
  • Prior work with SAP data structures, BAPIs, RFC connectors, or ERP system integration in any language.
  • Domain exposure to textile, fashion, apparel manufacturing, or supply chain systems.
  • Experience with Celery, RQ, or similar async task queue frameworks for background job orchestration.
  • Knowledge of PDF/document generation (ReportLab, WeasyPrint) and QR code generation libraries.
  • Familiarity with Next.js or modern React frameworks for effective API contract collaboration with the frontend team.
  • Experience with ESG reporting data models or sustainability tracking systems.
  • Prior experience on a joint delivery / client co-development engagement model.



What We Offer

  • Architect ownership of a greenfield AI-native SaaS platform from Day 1.
  • Direct collaboration with senior leadership.
  • A multi-phase, long-term engagement with AMC and ongoing product evolution post-launch.
  • Competitive compensation commensurate with technical seniority.
  • Complimentary Breakfast, Evening Snacks & Subsidised Lunch at the Kolkata office.
  • Cross-domain exposure: AI, textile/fashion manufacturing, ERP integration, ESG, and SaaS.



Interview Process

  • Application Review
  • 510 minute initial screening call with the TA team
  • Technical Architecture Interview (domain-specific backend, data, AI integration)
  • System Design Round live architecture walkthrough with the WSG engineering panel
  • Practical Test conducted in the presence of a panel member
  • Role Match & Offer

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About Company

Job ID: 144651339