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AI Architect

Bachu Sai Nikheel's profile picture
Posted by Bachu Sai Nikheel
10 - 15 yrs
₹35L - ₹45L / yr
Hyderabad
Skills
Generative AI
PEFT (Parameter-Efficient Fine-Tuning)
Voice processing
Artificial Intelligence (AI)
GPU computing
Retrieval Augmented Generation (RAG)
skill iconMachine Learning (ML)
Large Language Models (LLM) tuning

We are seeking an experienced AI Architect to design, build, and scale production-ready AI voice conversation agents deployed locally (on-prem / edge / private cloud) and optimized for GPU-accelerated, high-throughput environments.

You will own the end-to-end architecture of real-time voice systems, including speech recognition, LLM orchestration, dialog management, speech synthesis, and low-latency streaming pipelines—designed for reliability, scalability, and cost efficiency.

This role is highly hands-on and strategic, bridging research, engineering, and production infrastructure.


Key Responsibilities

Architecture & System Design

  • Design low-latency, real-time voice agent architectures for local/on-prem deployment
  • Define scalable architectures for ASR → LLM → TTS pipelines
  • Optimize systems for GPU utilization, concurrency, and throughput
  • Architect fault-tolerant, production-grade voice systems (HA, monitoring, recovery)

Voice & Conversational AI

  • Design and integrate:
  • Automatic Speech Recognition (ASR)
  • Natural Language Understanding / LLMs
  • Dialogue management & conversation state
  • Text-to-Speech (TTS)
  • Build streaming voice pipelines with sub-second response times
  • Enable multi-turn, interruptible, natural conversations

Model & Inference Engineering

  • Deploy and optimize local LLMs and speech models (quantization, batching, caching)
  • Select and fine-tune open-source models for voice use cases
  • Implement efficient inference using TensorRT, ONNX, CUDA, vLLM, Triton, or similar

Infrastructure & Production

  • Design GPU-based inference clusters (bare metal or Kubernetes)
  • Implement autoscaling, load balancing, and GPU scheduling
  • Establish monitoring, logging, and performance metrics for voice agents
  • Ensure security, privacy, and data isolation for local deployments

Leadership & Collaboration

  • Set architectural standards and best practices
  • Mentor ML and platform engineers
  • Collaborate with product, infra, and applied research teams
  • Drive decisions from prototype → production → scale

Required Qualifications

Technical Skills

  • 7+ years in software / ML systems engineering
  • 3+ years designing production AI systems
  • Strong experience with real-time voice or conversational AI systems
  • Deep understanding of LLMs, ASR, and TTS pipelines
  • Hands-on experience with GPU inference optimization
  • Strong Python and/or C++ background
  • Experience with Linux, Docker, Kubernetes

AI & ML Expertise

  • Experience deploying open-source LLMs locally
  • Knowledge of model optimization:
  • Quantization
  • Batching
  • Streaming inference
  • Familiarity with voice models (e.g., Whisper-like ASR, neural TTS)

Systems & Scaling

  • Experience with high-QPS, low-latency systems
  • Knowledge of distributed systems and microservices
  • Understanding of edge or on-prem AI deployments

Preferred Qualifications

  • Experience building AI voice agents or call automation systems
  • Background in speech processing or audio ML
  • Experience with telephony, WebRTC, SIP, or streaming audio
  • Familiarity with Triton Inference Server / vLLM
  • Prior experience as Tech Lead or Principal Engineer

What We Offer

  • Opportunity to architect state-of-the-art AI voice systems
  • Work on real-world, high-scale production deployments
  • Competitive compensation and equity (if applicable)
  • High ownership and technical influence
  • Collaboration with top-tier AI and infrastructure talent
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About VMax eSolutions India Pvt Ltd

Founded :
2008
Type :
Services
Size :
100-1000
Stage :
Profitable

About

VMAX is an ISO 90012015 and ISO 27001:2013 certified organisation based in Hyderabad, India. It builds custom, tailor-made, and scalable products that can be easily integrated with third-party systems. VMAX provides cutting-edge solutions to its clients and has helped organizations emerge as winners in their respective industries.
Read more

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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