Principal AI Engineer (Voice Bot, Agentic AI)

Role & Responsibilities This is a foundational role blending applied machine learning, LLM integration, and modern data engineering to drive real-time decisioning and automation across the platform.

Key Responsibilities

• Lead implementation of LLM-based features: summarization, sentiment detection, auto-disposition, escalation tagging
• Fine-tune and evaluate models (Whisper, GPT, HuggingFace, Rasa) for vernacular (Indian) language support
• Build and deploy LangChain pipelines for prompt engineering, QA tagging, and agent assist
• Prototype emotion recognition, contextual agent replies, and real-time assist layer
• Build and maintain inference pipelines using FastAPI, Docker, Kubernetes
• Integrate AI modules into core product features (Dialer, CRM sync, IVR)
• Optimize model latency and deployment strategy for high concurrency environments
• Architect scalable data pipelines using PostgreSQL, Redis, and Kafka
• Build ETL/ELT workflows to support real-time analytics, dashboards, and feedback loops
• Maintain secure, compliant data storage, retrieval, and access control pipelines (DPDP, GDPR-ready)
• • Collaboration & Leadership
• Work closely with Product, Engineering, and UX to deliver features that directly impact agent productivity
• Guide junior ML and data engineers; define and enforce coding/data standards
• Contribute to AI strategy, model governance, and data infrastructure roadmap Ideal Candidate
• Strong Principal AI Engineer (Agentic AI / Voice Bot / LLM Engineering) Profiles
• Mandatory (Experience 1) – Must have 8+ years of overall software engineering experience, with at least 5+ years of hands-on experience in Artificial Intelligence, Machine Learning, Generative AI, or Applied AI engineering roles.
• Mandatory (Experience 2) – Must have strong hands-on experience designing, developing, and deploying AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI frameworks, and Generative AI architectures.
• Mandatory (Experience 3) – Must have minimum 1+ year of recent hands-on experience in Voice Bot Development, Voice AI, Conversational AI, AI Voice Agents, Speech AI, Contact Center Automation, or Voice Automation Platforms.
• Mandatory (Experience 4) – Must have strong expertise in Python and should have built scalable AI/ML applications, APIs, microservices, or backend systems using Python-based frameworks.
• Mandatory (Experience 5) – Must have hands-on experience with AI/LLM frameworks such as LangChain, LangGraph, Hugging Face, LlamaIndex, CrewAI, AutoGen, Whisper, OpenAI SDKs, or equivalent GenAI development frameworks.
• Mandatory (Notice Period) – Immediate Joiners or candidates who can join within 15 days will be highly preferred.
• Preferred (Cloud) – Experience with AWS, Azure, GCP, MLOps, AI deployment platforms, model serving infrastructure, and cloud-native architectures. Perks, Benefits and Work Culture
• Shape the AI-native dialer experience agents across India and Oversees
• Build with purpose — multilingual, affordable, fast-deploy SaaS platform for emerging markets
• Work with modern tech: GPT, Whisper, LangChain, WebRTC, React, FastAPI Skills: bot,pipelines,ml,ai,automation,infrastructure,learning