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.
build a generational AI company from the ground up