
Vice President - Engineering
- ₹80L – ₹1 cr • No equity
- |
- |10 years of exp
- |Full Time
In office
Not Available
About the job
Hiring: Vice President - Engineering
We're building the proprietary AI platform that powers global patent portfolio development and IP strategy for the world's most innovative enterprises and top law firms.
Every claim has to be defensible. Every extraction has to be accurate. Every workflow has to survive enterprise-grade scrutiny. We're not building demos. We're building mission-critical intelligence infrastructure that sits beneath how the world's most valuable intellectual property is protected and scaled.
Backed by premier Silicon Valley venture capital through Series A and Series B, we operate across the San Francisco Bay Area, Bangalore, and Gurgaon. We're looking for an executive engineering leader who wants to own the technical DNA of everything — not just manage a team, but define and drive the multi-year platform vision alongside our CEO.
The Mission
As our VP of Engineering, you will lead the company's product and platform strategy from Bangalore, directing engineering excellence across applied AI/ML, distributed systems, DevOps, and cloud infrastructure. You'll bridge executive vision with hands-on architecture, scaling our platform to match global leaders in the enterprise IP domain.
What You'll Build
- Mission AI & Autonomous Systems — production-grade GenAI/LLM architecture, multi-agent orchestration, and autonomous workflows capable of handling complex document automation and structured decision intelligence
- High-Precision Document Automation — intelligent parsing and extraction engines designed for massive, complex, and unstructured datasets (patents, legal documents, and enterprise IP assets)
- Hyper-Scale Cloud-Native Infrastructure — distributed, multi-cloud platforms across AWS, Azure, and GCP built for high uptime, cost efficiency, and enterprise reliability
- Robust Platform Engineering — end-to-end CI/CD pipelines, modern microservices architectures, and quality engineering frameworks ensuring velocity and fault tolerance
What We're Looking For
- 10–15 years of software engineering and leadership experience in B2B SaaS or technology-first environments
- A proven track record of taking early-stage AI/ML prototypes and scaling them into robust, production-grade enterprise platforms
- Deep full-stack engineering roots (Java, Python, JavaScript/Node.js, React, Angular) with mastery of distributed microservices and database modeling (SQL/NoSQL)
- Demonstrated experience building, mentoring, and scaling lean, agile engineering teams from the ground up
- High technical proficiency combined with strong business acumen, end-to-end delivery ownership, and executive stakeholder communication
Good to Have
- Extensive multi-cloud engineering experience across Azure, AWS, and GCP
- Hands-on architectural oversight of LLMs, applied AI, and multi-layered deep learning systems
- Background in building systems with complexity similar to legal workflow automation, patent parsing, or regulatory compliance
- Strong mastery of Agile tooling, Atlassian suites, and modern DevOps automation
Why Join
- Direct seat at the executive table — report straight to the CEO and shape the entire technical and product roadmap
- You're solving complex enterprise AI problems: high-stakes IP assets where precision, auditability, and scale are non-negotiable
- Well-capitalized by top-tier Silicon Valley VCs with global footprint across the US and India
- Bangalore-based executive role — lead a high-ownership, high-velocity engineering culture built to last
About the company
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