Al Engineer

AI Engineer — Voice & Language

4+ Years · Full-Time· Jaipur ·Competitive Salary

About the Role

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.

What You'll Do

• 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

Must-Have

• 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

Tech Stack

Core

Python

PyTorch

FastAPI / Go

Kubernetes

MLflow

LLM & GenAI

OpenAI / HuggingFace

LangChain

LlamaIndex

vLLM

RAG / Agents

️ Voice AI

STT

TTS

WebRTC / WebSockets

pyannote.audio

Twilio / Vonage

️ Audio Processing

librosa / FFmpeg

Silero VAD

openWakeWord

SSML / Prosody

AEC / Noise Suppression