Senior AI Engineer, Voice AI

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