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HabileLabs · IT - Software Development

Ai Engineer

India, Jaipur · Job Posted June 15, 2026
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Job Description

We're hiring a senior AI Engineer to design, build, and ship production AI systems — with strong emphasis on Voice AI. You'll own the full lifecycle: architecture, training, deployment, and monitoring across language and voice modalities.

Job Responsibility

  • LLM & GenAI: Fine-tune and deploy LLMs
  • build RAG pipelines and agentic workflows (LangChain, LlamaIndex)
  • Voice Pipelines: Architect real-time ASR → LLM → TTS pipelines with <300 ms latency
  • Voice Agents: Build production voice agents with turn-taking, barge-in handling, and emotion-aware dialogue
  • Speech Fine-Tuning: Adapt ASR/TTS models for domain-specific accents, terminology, and speaking styles
  • MLOps: Build reproducible ML pipelines (Kubeflow / MLflow)
  • maintain CI/CD, monitoring, and model versioning
  • Inference Optimization: Apply quantization (GGUF, GPTQ), distillation, and hardware-aware inference (TensorRT, vLLM) to cut cost and latency
  • APIs & Services: Ship high-performance inference APIs in Python (FastAPI) or Go on Kubernetes
  • Data & Evaluation: Curate text + speech corpora
  • define eval harnesses covering WER, MOS, latency P95, and safety

Requirements

  • 4+ yrs ML/software engineering
  • 2+ yrs on production AI systems
  • Strong Python
  • PyTorch or TensorFlow
  • LLM fine-tuning: LoRA / QLoRA / PEFT
  • End-to-end ML pipeline experience (train → serve)
  • Cloud (AWS / GCP / Azure) + Docker / Kubernetes
  • ASR & TTS integration in real-time streaming systems
  • VAD, noise suppression, and barge-in handling
  • Telephony APIs (Twilio, Vonage) or WebRTC experience

Nice to have

  • Whisper / wav2vec fine-tuning for domain adaptation
  • Audio-language models (AudioPaLM, Qwen-Audio, Gemini Audio)
  • Speaker diarization (pyannote.audio) or voice biometrics
  • Prosody control, SSML, expressive TTS synthesis
  • Multilingual ASR/TTS and code-switching pipelines
  • RLHF / Constitutional AI alignment
  • Vector DBs (Pinecone, Weaviate, pgvector)
  • Open-source contributions or published research
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