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VP of Engineering

Gnani Innovations
Bengaluru, Karnataka

Apply Now

Job details

1 day ago

Qualifications

Cloud infrastructure
Azure
Rust (programming language)
Go
Law
Kubernetes
Multilingual
Test automation
NoSQL
Research
Java
Master's degree
SQL
Distributed systems
Redis
REST
APIs
Kafka
AI
gRPC
Python

Full job description

Product

Bengaluru

14 - 20 years experience

Responsibilities

About Gnani.ai-

Gnani.ai is a frontier Voice AI company, building best-in-class AI models and agentic AI platforms that solve problems at scale. Our proprietary stack — speech recognition, text-to-speech, small language models, and agentic voice platforms across 40+ languages — powers real-time conversations in production for some of the most demanding enterprises in the world.

We own our stack end to end. That is our moat — and product is how we turn that depth into experiences customers and developers love.

The Role

We are hiring a VP of Engineering to lead the organization that builds and runs our voice platform — the real-time runtime, the product surfaces on top of it, and the cloud and telephony infrastructure that keep it fast and reliable under enterprise load.This is a senior, deeply technical leadership role reporting to the Chief Product & Engineering Officer.

You will set engineering strategy, scale a multi-team organization, and stay close enough to the system to own the hard calls on architecture, latency, and reliability yourself. Our AI research organization owns the models; a separate Delivery organization owns customer implementations. Your mandate is to make the platform something both of them can build on with total confidence.

What You'll Own

The real-time voice platform & runtime — the orchestration layer where telephony, speech, and agentic logic meet, engineered for low latency and high concurrency.
Product engineering — the teams building our agentic voice platform, our voice and speech products, and a growing speech-analytics product.
Infrastructure, DevOps & telephony — Kubernetes-based cloud infrastructure, the VoIP/telephony stack, observability, release engineering, and security operations.
Reliability & scale — SLAs, on-call, incident response, capacity and concurrency provisioning, and cost-efficient operation at the platform layer.
Quality & test engineering — test strategy, test automation, and release quality across the product pods, with QA embedded close to the teams it serves.
The engineering organization — hiring, structure, manager development, the technical bar, and engineering culture, partnering with a Principal Architect who holds cross-product technical authority.

What We're Looking For

You are a sitting engineering leader at an enterprise SaaS or high-growth product company, and you have built and scaled engineering organizations that ship demanding software in production.

Core — what matters most

15+ years in software engineering, with several years leading at Director / Sr. Director / VP level at a product company.
Has personally architected and scaled distributed, low-latency or real-time systems in production— and can still go deep with the strongest engineers.
A track record of scaling an engineering org through growth: hiring senior talent, managing managers and technical leaders, and raising the bar without slowing delivery.
Strong cloud-native and reliability depth — Kubernetes, observability, on-call/incident discipline, capacity and cost management at scale.
Enterprise-grade instincts — multi-tenancy, security, and operating under real customer SLAs and compliance obligations.
Partners cleanly with peer AI and Product leaders, keeping ownership boundaries crisp.

Strong advantage — what sets a candidate apart-

Building or operating GenAI / agentic-AI platforms comparable to ours.
Real-time communications, streaming, media, or voice — SIP/RTP, telephony, VAD, ASR/TTS orchestration.
Running LLM / agentic systems in production.
Familiarity with the Indian enterprise market and its regulatory environment (DPDP, RBI, IRDAI,TRAI, and HIPAA-type regimes).
Exposure to multilingual / Indic products.

A note on the bar: deep voice-AI or model-research experience is a plus, not a prerequisite. We are looking first for an exceptional, scaled, hands-on engineering leader.

Skills & Competencies

Hands-on engineering — still writes and reviews production code; fluent in one or more modern backend languages (e.g. Go, Python, Rust, Java) and sets the bar by example.
System architecture & design — strong command of design principles, patterns, and trade-off analysis; clean service boundaries and well-considered APIs (REST / gRPC / streaming).
Distributed systems at scale — designing and operating low-latency, high-concurrency backend services.
Event-driven & streaming architectures — message buses and pub/sub (e.g. Kafka, NATS), async and stream processing, queueing, and backpressure.
SQL & NoSQL databases — sound data-modelling judgement, choosing the right store, and tuning for scale; plus caching and in-memory stores (e.g. Redis).
Cloud-native engineering — Kubernetes, containers, microservices, and infrastructure-as-code.
Reliability engineering — SLAs / SLOs, observability, on-call and incident management, capacity and cost planning.
Performance & efficiency — profiling and optimising latency and cost at the platform and serving layers.
Enterprise-grade software — security, multi-tenancy, and data protection by design.
Advantageous — real-time media and telephony (SIP / RTP / WebRTC, VAD, ASR/TTS orchestration), and serving LLM / agentic systems in production.

Leadership & operating

Scaling organisations — building and structuring multi-team engineering groups through growth.
Talent — hiring senior engineers and developing engineering managers.
Leading leaders — has directly managed technical leadership — Architects, Engineering Managers, and QA leads — not only individual contributors.
Technical bar & governance — setting standards, owning architecture decisions, and making the hard calls.
Cross-functional partnership — working cleanly with AI, Product, and Delivery leaders.
Strategy to delivery — translating business goals into engineering roadmaps and predictable execution.

Why This Role

The platform is real, in production, and growing — this is a scaling challenge, not a greenfield bet. You

will inherit a capable team and a clear mandate, with the CPEO sponsoring the function directly

through your onboarding. If you want to own the engineering of a category-defining, India-first voice-AI

platform and build the organization that scales it, this is the seat.

Skills Required

Primary Skills

ASR

WebRTC

AI / LLM

Azure Kubernetes Service (AKS)

Go (Programming Language)

VAD

Backend Python

Text-to-Speech (TTS)

Apply Now

Refine Your Search

technical director structures jobs in bengaluru karnataka

VP of Engineering

Senior Manager - Technical Program Management

AI Solutions Architect

Enterprise Sales Manager

Senior Systems Architect (Sales Compensation)

Principal Finance Analyst

Business Development Manager (BDM)

Principal Engineer -Dev Platform(Developer Experience)

Building Simulation Expert – ASSURE (Accelerating Sustainable and Super-Efficient Real Estate)

Java Software Engineer - Director - Software Engineering

Staff Engineer (Data Science)

Manhattan Active Omni Software Engineer - Retail

Team Lead, Software Engineering

Deputy Project Manager - Structure (Elevated Road)

Company Secretary & Compliance Specialist

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