AI/ML Engineer - Voice Bot

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

Overall/Total Experience : 4 - 7 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

Role & Responsibilities :

- Build and deploy AI/ML solutions using Large Language Models (LLMs), NLP, speech AI, and generative AI technologies.

- Develop LLM-powered features including summarization, sentiment analysis, intent detection, auto-disposition, escalation tagging, and agent assistance.

- Build and implement Agentic AI workflows, prompt pipelines, and retrieval-based systems using frameworks like LangChain.

- Work with speech technologies including STT, TTS, Whisper, and voice intelligence solutions.

- Build AI inference services and APIs using Python, FastAPI, Docker, and cloud-native technologies.

- Develop and maintain ML pipelines for data processing, model training, evaluation, and continuous improvement.

- Integrate AI models into product workflows such as communication platforms, CRM systems, dialers, and automation solutions.

- Optimize AI systems for high-volume production environments with focus on performance and reliability.

- Work with data technologies such as PostgreSQL, Redis, Kafka, and build scalable data workflows.

- Implement secure and compliant AI data handling, retrieval, and access control mechanisms.

- Collaborate with product, engineering, and business teams to deliver impactful AI-driven features as a hands-on builder.

Candidate Requirements :

- Must have 4+ 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, etc.

(ref:hirist.tech)