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 robust 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.
- Explicit 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

📌 Engineering Head (Gurugram)
🏢 Singlefocus Services
📍 Gurugram