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

About the Role

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.

js • AI/ML APIs) and guiding a cross-functional team of engineers.

Job Details

Experience: 5–10 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

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. ‍

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. ‍

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 ‍

‍ 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.

Benefits

• 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. ‍

How to Apply

• Application Review • 5–10 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