We are seeking a seasoned Team Lead - Conversational Agents to lead mentor and grow an engineering team focused on architecting and delivering next-generation AI-powered voice digital and enterprise conversational platforms.
In this role you will bridge technical leadership enterprise architecture and team management. Beyond driving hands-on innovations with Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) and Agentic AI you will be responsible for scaling enterprise chatbots setting engineering standards and fostering the professional growth of your team.
Key Responsibilities
Technical Leadership & Enterprise Architecture
- Architect build and deploy robust enterprise-grade digital and voice assistants chatbots and AI agent platforms at scale.
- Oversee multi-step AI workflow orchestration tool/function calling state management and RAG pipelines integrated with complex enterprise backends.
- Drive quality assurance performance optimization model evaluation safety guardrails and compliance across all conversational touchpoints.
Team Leadership & Growth
- Lead a team of small-to-medium-sized AI Conversational Engineers providing technical guidance career development mentorship and continuous growth opportunities.
- Establish engineering best practices standards and testing methodologies.
Collaboration & Delivery Management
- Partner closely with product managers business stakeholders and cross-shore engineering teams to align business goals with execution strategies.
- 10 years of total software engineering experience.
- 2 years of experience leading managing or mentoring small-to-medium engineering teams.
- Proven track record of building and successfully deploying enterprise-scale chatbots conversational AI platforms or digital assistant solutions.
- Advanced Python programming code architecture and asynchronous frameworks (e.g. FastAPI).
- Experience with RESTful APIs webhooks microservices architecture and integrating with enterprise knowledge sources/databases.
- CI/CD pipelines Git workflows automated unit/integration testing cloud infrastructure (AWS/GCP) and security best practices.
- Good understanding of Large Language Models (LLMs) Prompt Engineering RAG architectures and Agentic AI systems.
- Experience with Model Context Protocol (MCP) tool/function calling and AI workflow orchestration engines.
- Hands-on familiarity with modern frameworks (LangChain LangGraph) and Vector Databases (Pinecone).
Ideal Candidate Profile
- A proactive leader who leads by example balances technical excellence with empathy and takes personal responsibility for team success and growth.
- Passionate about converting cutting-edge GenAI research into secure secure high-value business applications for enterprise clients.
- Ability to articulate complex technical concepts clearly to non-technical stakeholders and executive leadership.
Required Experience:
Manager
📌 Team Lead Conversational Agents (Bengaluru)
🏢 RingCentral
📍 Bengaluru
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