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Team Lead - Conversational Agents

RingCentral83 open roles

Where
Bangalore, India
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Your applicationOpen nowTeam Lead - Conversational AgentsRingCentral · Bangalore, India
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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. RingCentral postings stay open a median of 45 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted yesterday

RingCentral median: 45 days open

The posting

Team Lead - Conversational Agents

Experience: 10+ Years Location: Hybrid

About the Role

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

Required Skills & Qualifications

Leadership & Core Experience

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