Engineering Head

Engineering Head
Confidential Senior Engineering Leadership Opportunity
About the Role
We are looking for an experienced Engineering Head to lead the architecture, engineering organization and technology
strategy for a fast-growing enterprise AI platform. The role is based in Gurgaon and reports directly to the Co-founder &
CEO.
The successful candidate will be responsible for building and scaling production-grade conversational AI systems,
strengthening engineering processes, leading a high-calibre engineering organization and translating product
requirements into reliable, scalable and commercially viable technology.
Key Responsibilities

• Own the overall engineering architecture, technology roadmap, engineering quality, reliability, performance and
  security.

• Lead and scale the engineering organization, including hiring, mentoring, retaining and developing strong technical
  leaders.

• Design and build production-grade conversational AI and voice systems capable of handling real-world enterprise
  workloads.

• Own AI/ML and LLM architecture, model strategy, model combinations, evaluation and inference optimization.

• Drive real-time voice architecture across the complete ASR LLM TTS pipeline.

• Build highly scalable distributed systems supporting high concurrency and global production workloads.

• Own observability, platform reliability, technical debt, security and performance engineering.

• Work closely with the CEO, Product, Sales and other business stakeholders to translate commercial requirements into
  technology outcomes.

• Take products and platforms from zero-to-one through production and significant commercial scale.

• Drive infrastructure and inference economics, including optimization of cost per minute and overall platform efficiency.
  Technical Requirements

• 12+ years of engineering experience, with substantial hands-on technical depth.

• Proven experience personally building and shipping production Voice AI / Conversational AI systems.

• Strong understanding of latency across streaming ASR, LLM inference and TTS.

• Experience with streaming speech systems, VAD, endpointing, barge-in, DTMF and real-time transcription.

• Working knowledge of SIP/WebRTC, telephony integrations, call routing/transfer, carrier failure handling, recording
  and consent.

• Strong expertise in backend engineering, distributed systems, cloud infrastructure and real-time streaming.

• Experience with LLM fine-tuning/SFT, preference optimization, distillation, data curation and evaluation.

• Experience designing systems for thousands of concurrent calls or comparable high-concurrency workloads.

• Strong understanding of model fallback, routing and inference-cost optimization.
  Leadership Profile

• Builder of builders with a strong product and business mindset.

• Track record of building or scaling engineering teams from early stage to significant size.

• Hands-on and technically credible with the ability to go deep into architecture and production issues.

• Strong ownership mentality and ability to operate in a fast-moving, founder-led environment.

• Experience collaborating across Product, Business, Sales, Security, Privacy and Compliance.

• Ability to balance engineering excellence, speed, reliability and commercial outcomes.

  • Strong communication skills and ability to influence senior stakeholders.
    What Success Looks Like
  • Reliable, scalable and observable production AI/voice infrastructure.
  • A high-performing engineering organization with strong technical leadership.
  • Improved latency, reliability and cost economics across the voice stack.
  • Successful delivery of new AI capabilities from concept to production.
  • Technology architecture capable of supporting rapid customer and traffic growth.
  • Clear alignment between engineering priorities, product roadmap and business outcomes.
    Ideal Candidate Background
    Candidates from Voice AI, Conversational AI, Enterprise SaaS, CPaaS, Telecom, Contact Center, Speech Technology or
    related AI/ML environments are particularly relevant. Experience with large-scale distributed systems and real-time
    communication platforms is highly valued.
    Location & Reporting
    Location: Gurgaon, India
    Reporting to: Co-founder & CEO
    Level: Engineering Head / Senior Engineering Leadership
    Confidentiality
    This document is intended for confidential discussion with prospective candidates and should not be circulated externally
    without authorization