Al/ML Engineer - Agentic AI/Voice Bot/LLM

Job Description :- 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.- Fine-tune, evaluate, and optimize AI models for accuracy, latency, and scalability.- 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.Ideal Candidate :- Strong AI Engineer (Agentic AI / Voice Bot / LLM Engineering)- 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, or equivalent GenAI development frameworks.- Immediate Joiners or candidates who can join within 15 days. (ref:hirist.tech) .