VP Engineering AI

VAYUZ Technologies; Bengaluru; On-site; INR 2,500,000 - 6,500,000; Full time

Job summary

A leading technology firm in India is seeking an experienced engineering leader to manage a multi-disciplinary team. You will own platform architecture decisions and drive delivery against an ambitious roadmap. The ideal candidate has 10–12 years in software engineering, with a strong track record in SaaS product companies and experience with AI applications. This role offers an opportunity to influence both product design and the development workflow significantly.

Qualifications

• 10–12 years in software engineering with at least 3–4 years in engineering leadership.
• Strong track record in SaaS product companies.
• Experience in PropTech or Real Estate Tech is advantageous.
• Hands-on background modernising or evolving technology platforms.
• Real-world AI application engineering and production-ready AI features.

Responsibilities

• Lead and manage a multi-disciplinary engineering team.
• Own platform architecture decisions and drive engineering delivery.
• Embed AI meaningfully into both product and development workflows.
• Build a configurable, scalable platform reducing operational dependency on engineering.
• Embed AI into the product and development workflow as production capability.
• Collaborate with Product and Business to define scope and translate trade-offs into business language.
• Establish engineering culture, quality standards, and delivery practices to attract and retain talent.

Skills

Leadership in engineering

SaaS product development

AI application engineering

Excellent communication

AI in production

System design

Stakeholder communication

Job description

Responsibilities

• Lead and scale a multi-disciplinary engineering team - backend, frontend, AI, DevOps, and QA, across the full product stack
• Own platform architecture decisions - cloud-native, multi-tenant, integration-heavy, and increasingly AI-powered
• Drive engineering delivery against ambitious roadmap commitments with full transparency and rigour
• Build a configurable, scalable platform that reduces operational dependency on engineering for routine tasks
• Embed AI meaningfully into both the product and the development workflow — not as experimentation but as production capability
• Collaborate with Product and Business stakeholders to define scope, protect engineering focus, and translate technical trade-offs into business language
• Establish engineering culture, quality standards, and delivery practices that attract and retain strong talent

What We Are Looking For

• 10–12 years in software engineering with at least 3–4 years in engineering leadership, managing teams of 15+
• Strong track record in SaaS product companies, you understand multi-tenancy, configurability, and platform thinking
• Experience in PropTech, Real Estate Tech, or enterprise B2B SaaS is a strong advantage
• Hands‑on background in modernising or evolving technology platforms, you have navigated complex system transitions and know the pitfalls
• Real‑world AI application engineering, LLMs in production, AI-assisted development, operational AI features; not just prototypes
• A decisive, clear communicator who is as comfortable in a system design review as in a leadership meeting
• Someone who builds trust fast, with their team, with peers, and with business stakeholders