Position : Principal AI/ML Engineer (Voice Bot, Agentic AI)

Overall/Total Experience : 6-12 years only

Location : Gurugram

Working Days : 5 Days Working from office

Notice Period Requirement : Immediate Joiners only

Client's Company Size : Startup / Small Enterprise

- Face to Face interviews at Gurugram office for advanced interview rounds

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).

- Work closely with Product, Engineering, and UX teams.

- Guide junior ML and data engineers; define and enforce coding/data standards.

- Contribute to AI strategy, model governance, and data infrastructure roadmap.

Candidate Requirements :

- Strong Principal AI Engineer (Agentic AI / Voice Bot / LLM Engineering) Profiles

- Must have 6+ years of overall software engineering experience, with at least 3+ years of hands-on experience in Artificial Intelligence, Machine Learning, Generative AI, or Applied AI engineering roles.

- 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.

- 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.

- Must have strong expertise in Python and should have built scalable AI/ML applications, APIs, microservices, or backend systems using Python-based frameworks.

- 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.