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:
Work Location: In person
