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Vice President — Engineering
100 network
Vice President — Engineering

Vice President — Engineering at 100 network · Bengaluru (Bangalore) · 14 - 15 years · ₹70L - ₹90L / yr · Posted 16 Sep 2026

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Vice President — Engineering

at 100 network

Agency job
14 - 15 yrs
₹70L - ₹90L / yr
Bengaluru (Bangalore)
Skills
Engineering Leadership
GenAI / LLMs
AI Agents
Platform Architecture
Document Intelligence
Multi-agent Orchestration
Distributed Systems
Microservices

About the role

You will be a pivotal member of the leadership team, responsible for driving the company's product and platform strategy while overseeing engineering excellence across AI, data, platform, DevOps and infrastructure. This is a mission-critical role for an engineering leader who is both strategic and hands-on, and who can build scalable technologies for global enterprise clients in a fast-paced innovation ecosystem.

Reports to: CEO · Location: Bengaluru, India — hybrid, 3 days a week in office

What you will do

Technology & product leadership

  • Define and drive the technology vision, architecture and long-term platform roadmap.
  • Oversee the architecture, design and delivery of highly scalable enterprise systems.
  • Ensure engineering excellence, velocity and reliability across the product lifecycle.

Engineering & platform management

  • Lead platform engineering, product technology, DevOps, infrastructure and Quality Engineering.
  • Build robust cloud-native systems using the Azure, AWS and GCP ecosystems.
  • Oversee operational effectiveness, including uptime, production reliability and cost optimisation.

Innovation & AI strategy

  • Spearhead Mission AI by developing scalable, production-grade AI/ML and GenAI capabilities.
  • Own the GenAI/LLM solutions architecture.
  • Core specialisation in AI agents and autonomous workflows, data extraction and intelligent automation.
  • Direct hands-on architectural oversight of large language models, applied AI and multi-layered deep learning products.
  • Extensive expertise in building intelligent document automation systems — similar in complexity to patent parsing, legal workflow automation and structured decision intelligence tools.

Technical leadership

  • A proven track record overseeing product architecture, tech strategy and cross-functional engineering execution across core full-stack and AI platforms.
  • Collaborate with executive leadership on business strategy, client requirements and product delivery.
  • Build, mentor and scale high-performing engineering teams with a growth mindset.
  • Establish a strong technology culture grounded in ownership, innovation and continuous learning.

What success looks like

  • Mission AI: build a world-class AI system leveraging GenAI, ML and enterprise-grade data engineering.
  • Hyper-scaling: architect and scale the platform to match global industry leaders in the IP space.
  • Culture building: develop a strong engineering organisation with high ownership, performance and innovation DNA.

Qualifications & experience

  • Preferably under 15 years of enterprise software engineering experience across B2B SaaS or technology-first companies; fewer is fine for an exceptional engineer.
  • A proven track record of taking early-stage AI/ML prototypes and scaling them into robust enterprise SaaS platforms featuring multi-agent orchestration, complex workflows and decision intelligence.
  • Experienced in building and mentoring agile, lean startup teams of full-stack and machine learning engineers from the ground up.
  • Proven leadership in defining and executing technology strategy and platform roadmaps.
  • Extensive cloud-native engineering experience with Azure, AWS and GCP.

Technical expertise

  • Strong full-stack engineering background (Java, Python, JavaScript frameworks).
  • Expertise with JS frameworks such as React, Angular and Node.js.
  • Experience building and scaling distributed systems and microservices.
  • Strong knowledge of databases (SQL, NoSQL), data modelling and unstructured data management.
  • Strong understanding of Agile methodologies and tools (Atlassian, Git, CI/CD pipelines).

Behavioural & leadership competencies

  • Product and delivery management expertise, end to end, including delivery and customer support.
  • Excellent communication, with the ability to influence executive stakeholders.
  • High technical proficiency combined with strong business acumen.
  • Strong analytical and decision-making skills.


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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