This role is for one of the Weekday's clients
Salary range: Rs 4500000 - Rs 9000000 (ie INR 45-90 LPA)
Experience: 6+ yrs
Location: Bengaluru
Job Type: full-time
Being a part of the founding team, you will help build core product — AI-powered content and creator storefronts, and the commerce infrastructure that connects content to purchase. You will be in the middle of the design, development, and deployment cycles, and will be fully hands-on.
WHAT YOU'LL BUILD
- Consumer-facing and WhatsApp commerce surfaces for curated commerce, based on OTT/ long form and other creator content and tastes
- AI-powered product catalog and matching pipelines using multimodal models
- Creator commerce storefronts — product listings, cart logic, affiliate integration
- Connecting to OTT platforms, social platforms, and brand catalog backends
- Internal tooling to help the team move fast: data pipelines, test harnesses
- Adapt and rebuild fast as the product, and use cases evolve
Requirements
TECHNICAL REQUIREMENTS
- Build and ship AI pipelines end-to-end — LLM APIs, multimodal models, embeddings, vector search
- Strong backend fundamentals across Python or Node.js — async queues, REST/ webhook integrations, and the ability to work with messy third-party APIs. Additionally, strong understanding of PostgreSQL, Redis, or a vector DB
- Mobile-capable — React Native preferred; can ship a working consumer-facing surface
- Data pipeline instinct — scraping, ingestion, cleaning, structuring unstructured content into something queryable
- Vibe-codes fluently — uses Cursor, v0, Bolt or equivalent as force multipliers; ships fast, doesn't wait for perfect specs
WHAT WE'RE LOOKING FOR
- 6-8 years of hands-on engineering experience shipping products. Bengaluru-based
- Has handled real complexity — e-commerce, quick commerce, consumer tech, gaming, fintech, or AI-native products. Not large service-oriented organisations
Bonus:
o Exposure to marketplace infrastructure — inventory, order state, seller/creator/ affiliate logic, catalog ingestion, cart/checkout flows, WhatsApp commerce
o Built something with an LLM, experimented with multimodal APIs, and have opinions about where models are useful. Genuine curiosity here is non-negotiable - Comfortable with the uncertainty that comes with early-stage; understands that building something genuinely new means the map doesn't exist yet
WHAT WE'RE LOOKING FOR
• Founding team, and a direct line to working with the founders and Head, Engineering
Must-have skillsAI/LLM Development, Node.js, Full-Stack Development
Good-to-have skillsMultimodal AI Models, Data Pipelines, Event-Driven Architectures
Skills Required
- 6-8 years of hands-on engineering experience shipping products; Bengaluru-based
- Experience building and shipping AI/LLM pipelines end-to-end (LLM APIs, multimodal models, embeddings, vector search)
- Strong backend fundamentals in Python or Node.js, including async queues and REST/webhook integrations
- Experience working with messy third-party APIs and integrating external platforms
- Strong understanding of PostgreSQL, Redis, or a vector database
- Mobile-capable; ability to ship a consumer-facing surface (React Native preferred)
- Data pipeline experience: scraping, ingestion, cleaning, structuring unstructured content
- Experience with e-commerce/quick commerce/consumer tech/gaming/fintech/AI-native products handling complex flows
- Comfortable with early-stage uncertainty and rapid iteration; founding-team mentality
- Exposure to marketplace infrastructure (inventory, order state, seller/creator/affiliate logic, catalog ingestion, cart/checkout flows, WhatsApp commerce)
- Practical experimentation building with LLMs or multimodal APIs
- Full-Stack Development and AI/LLM Development
- Good-to-have: Multimodal AI models, data pipelines, event-driven architectures
What We Do
Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.
