
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

About VMax eSolutions India Pvt Ltd
About
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Neokred is a FinTech company based in Bangalore and an ISO 9001 | 27001 & 20000-1 and PCIDSS certified firm in Information and Data security. The company builds Consumer Tech for Financial Infrastructure stack to provide curated versions of embedded banking in the payment ecosystem. We've created a platform which enables Corporates, Banks, FinTech’s, Retail Companies, and Start-ups to launch their own banking services or financial products, such as issuance of co-branded cards, facilitating lending, and virtual bank accounts and KYC for their customers or employees with the help of low code plug and play technology stack.
BRIEF DESCRIPTION OF THE ROLE:
We are looking for an analytical, result driven Senior Java Developer who will use his or her understanding of programming languages and tools to build and analyse codes, formulate more efficient processes, solve problems, and create more seamless experience for users.
Your KRAs will include the following:
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YOU SHOULD POSSESS:
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- luency in JAVA, Operating System may be required and Experience on Database such as MySQL or Postgre SQL.
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We are looking for an experienced top-notch Software Engineer to grow with our development team. As a Node.js engineer, you will be involved from conception to completion with projects that are technologically sound and impactful.
What you will do:
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Requirements:
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The candidate is expected to create and lead a team of engineers and drive dev efforts for
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quickly as per the demands of the situation.
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prioritization skills.
Prior management and team-building experience. You'll be managing several direct reports
initially and will have the opportunity to scale and build out a high-performing engineering
team.
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Nice to have -
Logging : ELK, Cloudwatch.
Frontend : html , css , Javascript
Protocols : HTTP, XMPP, MQTT, Socket.io, TCP
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Strong Designing experience in the following tools are required:
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