Vice President of Engineering

15 years

0 Lacs

Posted:6 days ago| Platform: Linkedin logo

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Job Description

Vice President – Engineering

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About Darwix AI

Darwix AI is one of India’s fastest-growing GenAI SaaS platforms, transforming enterprise revenue teams with real-time conversational intelligence and AI-powered sales enablement tools. Our core product suite powers:

  • Multilingual speech-to-text
  • Real-time agent coaching & nudges
  • Automated scoring of sales calls
  • CRM/LOS integrations
  • Analytics dashboards and more

BFSI, real estate, retail, and healthcare

We operate across India, MENA, and Southeast Asia, and are backed by marquee investors, industry CXOs, and IIT/IIM/BITS alumni. As we scale to become the backbone of revenue intelligence globally, engineering excellence is the cornerstone of our journey.

Role Overview

Vice President – Engineering

This role requires strategic thinking, hands-on execution, deep experience with AI/ML or data-intensive platforms, and the ability to attract and retain top-tier engineering talent. You will work closely with the CEO, Head of AI/ML, Product, and Founder's Office to deliver robust, secure, and intelligent experiences across web and real-time systems.

Key Responsibilities

1.

Technology Leadership

  • Define and drive the technology vision, architecture, and roadmap across AI, platform, data, and frontend systems
  • Lead system architecture design for speech processing, real-time audio streaming, LLM-based agents, and multilingual interfaces
  • Ensure engineering best practices: microservices design, scalability, uptime SLAs, and test automation
2.

Team Building & People Leadership

  • Build, mentor, and scale a high-performance engineering team including backend, frontend, AI, DevOps, QA, and integrations
  • Instill a culture of ownership, fast iteration, performance reviews, and deep collaboration across teams
  • Define career paths, recruit top-tier talent, and drive technical onboarding and coaching
3.

Product Execution & Delivery

  • Work with Product, Founders, and Sales Engineering to translate business needs into scalable technical implementations
  • Own timelines, sprint planning, delivery schedules, and development velocity metrics
  • Ensure security, latency, fault tolerance, and compliance across all releases
4.

Platform & Infra Ownership

  • Oversee cloud infrastructure on AWS (or GCP), containerization, CI/CD pipelines, observability, and cost optimization
  • Own DevOps, uptime, disaster recovery, and horizontal scaling for high concurrency needs
  • Manage data engineering and database architecture across PostgreSQL, MongoDB, S3, Redis, and vector DBs
5.

AI/ML & GenAI Integration

  • Work closely with Head of AI/ML on integrating Whisper, LangChain, custom RAG pipelines, and multilingual inference stacks into production systems
  • Translate AI/ML research into performant APIs, stream pipelines, and real-time inference microservices
  • Ensure optimized GPU/CPU utilization, caching, and latency control on real-time AI modules
6.

Client-Facing & Sales Support

  • Support enterprise pre-sales and post-sales engineering for large deals (in BFSI, real estate, etc.)
  • Handle security reviews, solution architecture walkthroughs, and platform deep dives with client CTO teams
  • Create system documentation, architecture diagrams, and technical solution notes

Qualifications & Skills

Must-Have

  • 10–15 years of total experience in software engineering, with at least 4–5 years in senior leadership
  • Proven experience scaling a B2B SaaS platform across geographies
  • Deep backend expertise in

    Python, Node.js, PostgreSQL, MongoDB

    , microservices
  • Strong understanding of

    cloud-native development (AWS/GCP), DevOps, CI/CD

    , and real-time systems
  • Experience managing large-scale, concurrent user bases and low-latency applications
  • Strong understanding of

    security protocols, enterprise authentication (SAML/OAuth), and compliance

Good to Have

  • Exposure to

    speech-to-text

    , audio processing, NLP, or GenAI-based inference systems
  • Experience working with

    AI frameworks (Torch, HuggingFace, LangChain)

    and GPU inference optimization
  • Familiarity with

    Flutter

    ,

    Angular/React

    , or mobile deployment is a plus
  • Hands-on experience with

    vector databases, Redis, WebSockets

    , and scalable caching mechanisms

Who You Are

  • You’ve built high-growth engineering teams from scratch or scaled them through 10x growth phases
  • You’ve architected and shipped world-class SaaS systems, preferably with real-time or AI components
  • You balance technical depth with strategic business alignment
  • You lead by influence, feedback, and deep respect—not just authority
  • You’re obsessed with metrics, uptime, shipping velocity, and end-user outcomes
  • You’re energized by fast-paced environments, ambiguous challenges, and clear impact

What Success Looks Like in 12 Months

  • A rock-solid engineering team shipping weekly with full CI/CD and 99.99% uptime
  • Near real-time AI inference systems powering multilingual speech and coaching
  • Engineering velocity has doubled, without sacrificing stability
  • Architecture is mature, modular, secure, and scalable across geographies
  • You’ve built strong tech documentation and institutional knowledge systems
  • Product features are built fast, secure, and adopted well by enterprise clients
  • Engineering culture is resilient, hungry, and ready for global scale

How to Apply

careers@darwix.ai

Application – VP Engineering – [Your Name]

(Optional): Include a brief note outlining a high-impact engineering initiative you’ve led and the measurable impact it created.


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