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.
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: 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 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
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
