AI Engineer-Agentic AI / Voice Bot / LLM Engineering

Role & Responsibilities

AI/ML Engineer (4–7 Years Experience)

Role & Responsibilities

We are looking for a hands-on AI/ML Engineer to build and deploy intelligent AI solutions across our communication platform. This is an individual contributor role involving development of LLM-powered applications, voice AI capabilities, NLP pipelines, and production-grade ML systems that enable automation and real-time decision-making.

Key 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.
• 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) Profiles
• Mandatory (Experience 1) – 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.
• 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.

Skills: automation,pipelines,python,bot,ml,speech