Tech Lead

ZYOD • B2B Commerce • Apparel Manufacturing • JavaScript • Java • C# • Node JS • 3 days ago

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Salary

≈ $31k – $82k per year (Estimated)

Location

In office (Gurgaon)

Seniority

Staff · 7+ years exp

First seen by Alion on Oct 22, 2026.

Overview

Company

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Profile match

ZYOD

ZYOD is a B2B marketplace that provides end-to-end design-to-delivery solutions like Al-driven forecasted designs, sustainable, and ethical manufacturing catalogs, and delivery services to several fashion brands.

zyod.com • HQ: Gurgaon, India • Apparel Manufacturing • B2B Commerce • 11-50 employees • Est. 2023

Tech stack of ZYOD

Backed by Lightspeed Venture Partners, RTP Global

We are looking for an AI-first Tech Lead / Principal Engineer to join the Money Movement Team at Payoneer. This is an Individual Contributor (IC) role with strong technical ownership, where you will lead high-impact projects and guide engineering teams on architecture, scalability, and AI-driven innovation.

Responsibilities:

Lead end-to-end technical execution of critical projects within the Money Movement domain.
Architect and build scalable, high-performance backend systems.
Drive adoption of AI-powered solutions using frameworks like LangChain and LangGraph.
Provide technical leadership and mentorship to engineers across teams.
Collaborate with cross-functional teams, including Product, Design, and Business.
Ensure high-quality code, system reliability, and performance optimization.
Contribute to system design, code reviews, and best engineering practices.
Present technical solutions and strategies to stakeholders.

Requirements:

7-12 years of strong backend engineering experience.
Expertise in at least one: Node.js / Java /. NET.
Hands-on experience building AI/LLM-based applications.
Strong working knowledge of LangChain / LangGraph (must-have).
Proven experience in designing scalable distributed systems.
Strong problem-solving and system design skills.
Excellent communication and presentation skills (non-negotiable).

Skills

.NET, AI, DotNet, Java, LLM, LangChain, LangGraph, Node, Node.js

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