Senior AI Engineer, Voice AI

SingleInterface; Gurugram District; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

SingleInterface is hiring a Senior AI Engineer, Voice AI to build state-of-the-art voice AI systems for real-world customer conversations. You will work close to the model and systems layer, balancing latency, quality, and cost while supporting multilingual telephony workflows.

You will design end‑to‑end voice pipelines, oversee ASR, VAD, language identification, and TTS components, and optimize prompts, orchestration, and tool usage for high accuracy and reliability.

Qualifications

• 5+ years of experience in AI/ML/NLP with hands-on Voice AI or Conversational AI.
• Proven experience building or improving production voice systems used in real interactions.
• Strong understanding of speech pipelines (ASR, diarization, VAD, language ID, TTS).
• Experience with LLMs in production, including prompting and orchestration.
• Proficient in Python; hands-on with PyTorch or TensorFlow; production model serving.

Responsibilities

• Design, build, and improve real-time Voice AI systems for customer conversations.
• Develop and optimize systems across the voice stack (ASR, diarization, VAD, LID, TTS).
• Build low-latency inference pipelines for live voice interactions.
• Enhance multilingual and code-switched performance for telephony environments.
• Define evaluation frameworks for quality, latency, and business outcomes.
• Fine-tune LLMs and speech models for domain-specific performance.

Skills

Voice AI

Python

LLMs in prod

NLP

PyTorch

TensorFlow

Docker

Kubernetes

Redis

Tools

PyTorch

TensorFlow

Docker

Kubernetes

Redis

Job description

At SingleInterface, we are redefining how multi-location brands connect with customers in an AI-driven digital world. Backed by $30M in funding from PayPal Ventures and Asia Partners, we are scaling our AI Retail Tech Platform to empower businesses with seamless digital presence management, AI-powered customer engagement, online reputation management, and store-level product service integration. Our data-driven approach helps brands enhance customer experience, gain insights, and drive revenue growth.

Our Vision

Making AI-driven solutions simple accessible for hyperlocal businesses to manage complex digital marketing needs.

Our Goal

Fuel growth for 10 million business locations by 2030 through advanced AI-powered frictionless experiences.

Our Core Values

• Customer First - We put our customers at the heart of everything we do.
• Getting Things Done - Speed and execution define our approach.
• Being Authentic - We stay true to our people and mission.
• Being Finicky - We obsess over the details that matter.
• Being Techurious - We challenge the status quo with tech-driven solutions.

About the Role

We are hiring a Senior AI Engineer, Voice AI to build state-of-the-art voice AI systems for real-world customer conversations. The ideal candidate has deep experience across speech and language layers, including ASR, dualization, multilingual voice pipelines, LLM prompting and optimization, summarization, extraction, and low-latency production deployment.

This is not a pure integration role. We are looking for someone who can operate close to the model and systems layer, make strong architectural trade-offs, and build reliable conversational AI under real-world constraints such as noisy telephony audio, multilingual users, interruptions, latency sensitivity, and business-critical workflows.

You will work on production voice agents and conversational intelligence systems that power customer interactions at scale, across live conversations, post-call analytics, and automation workflows.

Key Responsibilities

• Design, build, and improve real-time Voice AI systems for customer conversations.
• Develop and optimize systems across the voice stack, including:
  • Automatic speech recognition (ASR)
  • Speaker diarization
  • Voice activity detection (VAD)
  • language identification
  • LLM reasoning and orchestration
  • response generation
  • text-to-speech (TTS)
  • interruption handling and turn-taking
• Build low-latency, production-grade inference pipelines for live voice interactions.
• Improve multilingual and code-switched conversational performance for real-world telephony environments.
• Design prompt workflows, structured outputs, tool usage, and fallback logic to improve accuracy, control, and resolution rates.
• Build and refine systems for:
  • summarization
  • information extraction
  • classification
  • sentiment and emotion analysis
  • call dispositioning
  • topic and intent detection
  • quality monitoring
• Define and implement evaluation frameworks for conversational quality, latency, hallucination, containment, task completion, extraction accuracy, and business outcomes.
• Fine-tune and optimize LLMs and speech models for domain-specific performance where needed.
• Work closely with product, engineering, and operations teams to translate ambiguous business problems into scalable AI systems.
• Troubleshoot production failures across speech, orchestration, and model behaviour, and drive measurable improvements.

Required Qualifications

• 5+ years of experience in AI/ML/NLP, with strong hands-on experience in Voice AI, Speech AI, or Conversational AI.
• Proven experience building or improving production voice systems used in real customer interactions.
• Strong understanding of the speech pipeline, including one or more of:
  • ASR
  • diarization
  • VAD
  • language identification
  • TTS
  • telephony audio handling
• Strong experience with LLMs in production, including prompting, orchestration, evaluation, summarization, extraction, or agent workflows.
• Strong programming skills in Python and experience with frameworks such as PyTorch, TensorFlow, or similar.
• Experience with model serving, inference optimization, and production performance tuning.
• Strong grasp of system design trade-offs across latency, quality, reliability, and cost.
• Ability to work hands-on across experimentation, shipping, debugging, and iterative improvement.

Preferred Qualifications

• Experience working in contact center AI, conversational analytics, or enterprise customer interaction products.
• Experience with multilingual speech systems, especially for Indian or other non-English language environments.
• Familiarity with tools, frameworks, or models such as:
  • Whisper
  • Kaldi
  • Hugging Face
  • streaming ASR pipelines
  • neural TTS systems
• Experience with:
  • prompt optimization
  • fine-tuning
  • PEFT / LoRA
  • distillation
  • evaluation harnesses
  • structured generation
• Experience designing systems for:
  • call summarization
  • QA automation
  • compliance monitoring
  • agent assist
  • sentiment/emotion detection
  • conversation intelligence
• Familiarity with production infrastructure such as Docker, Kubernetes, Redis, message queues, observability tooling, and scalable API services

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.