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Senior Web AI Lead

IQ - Hub
Vadodara, Gujarat

Quick apply

Job details

Full-time
From ₹60,000 a month

Qualifications

BCS
CI/CD
Azure
Node.js
Law
Computer Science
Software Engineering
MCP
React
Kubernetes
Full-stack development
Software deployment
Git
English
Master's degree
AWS
Docker
Bachelor's degree
Continuous integration
Back-end development
REST
APIs
Data science
GraphQL
AI
Diploma
Communication skills
Debugging
Information Technology

Full job description

Role Overview

As Senior Web AI Lead, you will be the primary technical contributor for web platforms and AI integration initiatives. You will work hands-on — designing architecture, writing and reviewing code, integrating LLM-powered systems, and implementing the MCP connector patterns that connect our tools and workflows.

You will collaborate closely with the Web Team Project Manager, internal developers, and the external web team. There is no line management responsibility in this role. Your value is in technical depth, architectural clarity, and the ability to ship reliable, intelligent systems.

Key Responsibilities

Technical Architecture & Development

Own the technical architecture for web platforms and AI integration systems
Write, review, and maintain production code across the full stack — frontend (React/Node or equivalent) and backend
Establish and enforce technical standards, code quality practices, and documentation
Evaluate and adopt new tools, frameworks, and AI capabilities aligned to business needs

AI Integration & Agent Development

Design and implement LLM-powered features including AI agents, automation workflows, and content pipelines
Build and maintain agent frameworks using LangChain, LangGraph, or equivalent tooling
Implement and maintain MCP (Model Context Protocol) connector patterns to link internal tools and data systems
Develop APIs that connect AI services to frontend applications and internal platforms
Implement monitoring, traceability, and performance metrics for deployed AI systems

Web Development & Infrastructure

Build scalable backend services and RESTful/GraphQL APIs
Deploy and manage infrastructure using containerisation (Docker/Kubernetes) and cloud platforms (AWS or Azure)
Oversee technical execution across web projects delivered by internal and external contributors
Maintain technical documentation and knowledge bases that allow the team to operate and iterate independently

Collaboration & Coordination

Partner with Web Team Project Manager to translate business requirements into technical plans
Work directly with internal developers to align on implementation and standards
Coordinate with external team members on delivery and review cycles
Participate in technical reviews and contribute to continuous improvement of our build processes

Educational Background

REQUIRED QUALIFICATION

Bachelor’s degree in computer science, Information Technology, Software Engineering, or a closely related technical discipline

A master’s degree or postgraduate diploma in AI, Data Science, or Software Engineering is advantageous. Candidates with equivalent demonstrable experience in lieu of formal qualifications will be considered where the technical skills profile is strong.

Technical Skills & Stack

Core Stack (required):

Full-stack web development — React (frontend), Node.js or equivalent (backend)
LLM integration — hands-on experience with OpenAI, Claude (Anthropic), or open-source models
Agent frameworks — LangChain, LangGraph, or equivalent orchestration tooling
MCP (Model Context Protocol) connector patterns — building or consuming MCP servers to connect tools, data, and LLMs
Backend API development — REST and/or GraphQL
Cloud platforms — AWS or Azure (deployment, scaling, model hosting)
Containerisation and orchestration — Docker, Kubernetes

Advantageous:

Vector databases and RAG (Retrieval-Augmented Generation) architectures
AI observability tools — traceability, explainability, performance dashboards
MLOps and AI deployment pipelines
Experience with automation-first systems and workflow integration platforms
Certifications in cloud platforms, Kubernetes, or ML engineering

Skills & Attributes

5–8 years of hands-on, full-stack web and AI integration experience — breadth and depth both matter
Strong ownership instinct — this role requires self-directed technical decision-making, not instruction-following
Ability to work alongside (not above) a project manager, an external team, and internal developers — collaborative peer, not a hierarchy
Clear written and verbal communication in English — able to document decisions and align stakeholders without technical jargon
Proficient with development tooling: Git, CI/CD pipelines, code review workflows, and modern IDEs
Strong problem-solving skills; able to debug across the stack and resolve ambiguity in requirements
Adaptable to evolving product priorities, tooling changes, and rapid iteration cycles

What You Get

Greenfield opportunity — build web and AI infrastructure from the ground up, with real architectural ownership
Work directly with Leo Newman (Head of Operations) — decisions get made fast, without layers of bureaucracy
Exposure to cutting-edge AI tooling including LLM APIs, agent frameworks, and MCP connector patterns in a live production environment
Direct impact on digital products used by senior decision-makers across Fortune 500 companies globally
A well-defined working structure — you focus on technical delivery; Parker handles project coordination
Fast-growth environment within a stable, profitable global business — not a startup burning runway
Clear path to senior technical ownership as AI and digital capabilities scale

Growth Path

1 Senior Web AI Lead

Months 1–12

Establish architecture standards, ship AI integrations, embed within the team structure. Own the technical stack end-to-end.

2 Lead Web AI Engineer

Year 2–3

Expand AI capabilities across company's full digital footprint. Shape tooling decisions and integration roadmap with Leo and Parker.

3 Head of Web & AI Products

Year 3–5

Own the product and technology vision for company's web and AI layer. Lead infrastructure planning and contribute to business strategy.

Additional Requirements

Immediate or early joiners preferred
Candidates must be able to reliably commute to or relocate to Vadodara, Gujarat before starting
This is a fully on-site role — remote or hybrid arrangements are not available for this position
Candidates must be comfortable operating within a structured, fast-paced dual-shift organisation with clear reporting lines

HOW TO APPLY

Send your CV with a brief note on your full-stack web and AI integration experience to:

Email [email protected]

Phone +91 9377333411

Joining Immediate joiners preferred

Job Type: Full-time

Pay: From ₹60,000.00 per month

Language:

English (Preferred)

Work Location: In person

Quick apply

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