Senior AI Conversational Engineer

Job description

Say hello to possibilities. It's not everyday that you consider starting a new career challenge. RingCentral, Inc. (NYSE: RNG) is a global leader in cloud-based communications and collaboration software. We are fundamentally changing the nature of human interaction—giving people the freedom to connect powerfully and personally from anywhere, at any time, on any device. The company provides unified voice, video meetings, team messaging, digital customer engagement, and integrated contact center solutions for enterprises globally. RingCentral's open platform integrates with leading business apps and enables customers to easily customize business workflows. We’re a $2 billion company that’s growing at 30+% annually and we’re expanding our Engineering Team to make sure we stay ahead of the competition. RingCentral is headquartered in Belmont, California, and has offices around the world. Title: Senior AI - Chat Bot Developer Location: Hybrid, Bengaluru, India | Type: Full-Time | Team: Engineering Reimagine How The World Communicates with AI We're reimagining how people communicate using AI; from smart assistants that schedule meetings and transcribe conversations to systems that understand voice, video and text in real time. Our AI team is building the core infrastructure behind these agentic experiences, and we’re looking for an experienced AI engineer to help lead the charge. If you're excited to shape how millions of people work and connect, let’s talk. Join our Bengaluru engineering team to build the backbone of AI driven communication. About the Role We are seeking a Senior AI Conversational Engineer to develop next-generation AI-powered voice and digital assistants. This role extends beyond traditional chatbot development, focusing on the development of intelligent AI agents utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and enterprise integrations. Key Responsibilities Design and develop AI-powered voice and digital assistants using LLMs. Build intelligent conversational workflows, AI agents, and multi-step automations. Design effective prompts and optimize AI responses for quality and accuracy. Implement RAG pipelines using enterprise knowledge sources and vector databases. Develop Python-based components, tools, and API integrations using FastAPI. Integrate AI applications with enterprise systems through REST APIs, webhooks, and databases. Evaluate and leverage frontier AI models to solve business problems. Collaborate with Product, Engineering, and AI teams to deliver scalable AI solutions. Required Skills Core Technical Skills Strong Python programming (mandatory) REST APIs, JSON, Git Good understanding of software engineering best practices AI & Generative AI Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) Agentic AI / AI Agents Model Context Protocol (MCP) Function/Tool Calling AI workflow orchestration Integrations & Workflows Enterprise API integrations Workflow design and automation Conversational AI concepts (Voice & Digital) Good to Have LangChain / LangGraph Vector Databases (Pinecone, Weaviate, etc.) OpenAI, Anthropic, Gemini FastAPI / Flask Ideal Candidate 5+ years of software development experience with strong Python expertise. Hands-on experience building LLM-powered applications or AI assistants. Strong problem-solving and system integration skills. Passion for emerging AI technologies and rapid learning. Excellent communication and collaboration skills.