Voice AI Development

- Design and build real-time voice-based AI agents capable of natural, low-latency conversations.
- Develop and integrate Automatic Speech Recognition (ASR), Text-to-Speech (TTS), and Natural Language Understanding (NLU) pipelines entirely or predominantly in-house.
- Implement wake-word detection, speaker diarization, noise cancellation, and voice activity detection (VAD) modules.
- Build dialogue management systems with context tracking, intent handling, and multi-turn conversation flows.
- Optimize ASR/TTS models for accuracy, latency, and domain-specific vocabulary.

Infrastructure & Platform Engineering
- Design and manage the cloud or on-premise infrastructure required to deploy, scale, and monitor voice AI workloads.
- Set up CI/CD pipelines, containerization (Docker/Kubernetes), and model serving infrastructure (e.g., Triton, TorchServe, custom gRPC services).
- Ensure high availability, fault tolerance, and low-latency performance of real-time voice systems.
- Implement logging, monitoring, and alerting for production AI systems.
- Reduce dependency on external vendors by building reusable, internal libraries and services.

In-House Solution Design
- Evaluate open-source ASR (e.g., Whisper, Wav2Vec2, Kaldi), TTS (e.g., Coqui, VITS, FastSpeech2), and LLM frameworks and adapt them for production use.
- Build custom model training and fine-tuning pipelines for domain-specific voice applications.
- Contribute to internal tooling, SDKs, and APIs that allow other teams to build voice-powered features.

Collaboration & Leadership
- Collaborate with product, design, and data teams to translate business requirements into technical solutions.
- Conduct code reviews, mentor junior engineers, and enforce engineering best practices.
- Document architecture decisions, APIs, and operational runbooks.

Required QualificationsExperience
- 5 years of total software development experience.




- Minimum 1 year of hands-on experience building and deploying AI agents in a production environment.
- Proven track record of building in-house AI / ML solutions with limited dependency on external SaaS platforms.

Technical Skills – Voice AI
- Strong experience with ASR systems: Whisper, Wav2Vec2, DeepSpeech, Kaldi, or equivalent.
- Experience with TTS engines: Coqui TTS, VITS, FastSpeech2, Mozilla TTS, or equivalent.
- Hands-on experience with NLU/dialogue frameworks: Rasa, custom transformer-based models, or similar.
- Familiarity with audio processing libraries: librosa, PyDub, SpeechBrain, WebRTC VAD.
- Understanding of real-time audio streaming protocols (WebSockets, WebRTC, SIP/VoIP).

Technical Skills – Infrastructure
- Proficiency with Python and worked around 1 year in PHP-Larvel.
- Experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure).
- Familiarity with ML model serving and optimization (ONNX, TensorRT, Triton Inference Server).
- Experience with message brokers and streaming platforms (Kafka, RabbitMQ, or Redis Streams).
- Working knowledge of databases: PostgreSQL, Redis, and vector databases (Pinecone, Weaviate, or Qdrant).

Good to Have
- Experience with on-device / edge AI for voice (TFLite, CoreML, ONNX Runtime).
- Familiarity with telephony stacks and VoIP platforms (Asterisk, FreeSWITCH, Twilio Programmable Voice).
- Experience fine-tuning LLMs (LLaMA, Mistral, Falcon) for conversational use cases.
- Contributions to open-source voice AI or ML projects.

What We Offer
- Opportunity to build a cutting-edge voice AI platform from the ground up.
- High ownership, low bureaucracy — your decisions directly shape the product.
- Competitive compensation and performance-linked incentives.
- Flexible working arrangements.

Access to GPU compute resources and a dedicated AI research budget Pay: ₹50,000.00 - ₹90,000.00 per month

Advantages

- Flexible schedule
- Provident Fund

Work Location: In person

📌 Technical Project Manager (Dehradun)
🏢 BigShip
📍 Dehradun