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
Valuable 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
8+ years of software development experience with solid Python expertise.
Hands-on experience building LLM-powered applications or AI assistants.
Solid problem-solving and system integration skills.
Passion for emerging AI technologies and rapid learning.
Excellent communication and collaboration skills.
📌 Team Lead Conversational Agents Llm & Agentic Ai Bengaluru
🏢 RingCentral
📍 Bengaluru
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