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

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

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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.

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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

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Key Responsibilities:

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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