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.

Job Description :

- 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.