- 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.