Team Lead - Conversational Agents(LLM & Agentic AI)

RingCentral; Bengaluru; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

RingCentral in Bengaluru is seeking a seasoned Team Lead - Conversational Agents to guide an engineering team building AI-powered voice and chat platforms at scale. You will bridge technical leadership, architecture, and mentorship to deliver enterprise-grade conversational solutions.

The role requires hands-on expertise with LLMs, RAG, and agentic AI, plus setting coding standards, performance benchmarks, and fostering growth within the team for long-term innovation.

Qualifications

• 8+ years of total software engineering experience.
• 2+ years leading or mentoring engineering teams.
• Experience deploying enterprise-scale chatbots or digital assistants.
• Strong Python, FastAPI, and asynchronous frameworks.
• Knowledge of LLMs, RAG, and Agentic AI concepts.

Responsibilities

• Architect and deploy enterprise chatbots and AI agents at scale.
• Oversee AI workflow orchestration and RAG pipelines with backends.
• Establish engineering standards and testing methodologies.
• Mentor and grow a team of AI Conversational Engineers.
• Collaborate with product managers and cross-shore teams.
• Drive quality, performance, and security best practices.

Skills

Python

FastAPI

REST APIs

Microservices

CI/CD

AWS/GCP

LLMs

RAG

Agentic AI

LangChain

LangGraph

Pinecone

Tool calling

AI orchestration

Tools

LangChain

LangGraph

Pinecone

Job description

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.
• 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.
• Drive project delivery timelines, manage technical risks, remove blockers, and ensure high-quality software releases.

Required Skills & Qualifications

Leadership & Core Experience

• 8+ 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 stable, secure, high-value business applications for enterprise clients.
• Ability to articulate complex technical concepts clearly to non-technical stakeholders and executive leadership.