Senior AI Engineer – AI-Powered Communications

Say hello to possibilities.

It’s not every day that you consider starting a new career. We’re RingCentral, and we’re happy that someone as talented as you is considering this role. First, a little about us, we’re the 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.

We’re a $2 billion company that’s growing at 30+% annually and we’re expanding our  Product Management Team to make sure we stay ahead of the competition.

About RingCentral Events:

RingCentral events is an all-in-one solution for virtual, onsite, or hybrid events where AI enhances every milestone, from planning to execution.

Position Overview:

As a Senior Fullstack Engineer for RingCentral Events, you will play a pivotal role in building and maintaining our virtual event platform. This role demands a strong skill set in both frontend development with TypeScript, JS and React and backend development with RoR, NodeJS, ensuring our product's scalability and performance for large audience events.

📍 Bengaluru, India | 🕒 Full-Time | 💼 Engineering – AI/ML

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.

What You’ll Do

• Design & Build: Develop mutli-agent AI systems for the UCaaS platform, focusing on NLP, speech recognition, audio intelligence and LLM powered interactions.

• Rapid Experiments: Prototype with open-weight models (Mistral, LLaMA, Whisper, etc.) and scale what works.

• Code for Excellence: Write robust code for AI/ML libraries and champion software best practices.

• Optimize for Scale & Cost: Engineer scalable AI pipelines, focusing on latency, throughput, and cloud costs.

• Innovate with LLMs: Fine-tune and deploy LLMs for summarization, sentiment and intent detection, RAG pipelines, multi-modal inputs and multi-agentic task automation. 

• Own the Stack: Lead multi-agentic environments from data to deployment and scale.

• Collaborate & Lead: Integrate AI with cross-functional teams and mentor junior engineers.
   

What You Bring

• Experience: 6-10 years of professional  experience, with a mandatory minimum of 2 years dedicated to a hands-on role in a real-world, production-level AI/ML project.

• Coding & Design: Expert-level programming skills in Python and proficiency in designing and building scalable, distributed systems.

• ML/AI Expertise: Deep, hands-on experience with core ML/AI libraries and frameworks, Agentic Systems, RAG pipelines

• Hands-on experience in using Vector DBs

• LLM Proficiency: Proven experience working with and fine-tuning Large Language Models (LLMs). 

• Scalability & Optimization Mindset: Demonstrated experience in building and scaling AI services in the cloud, with a strong focus on performance tuning and cost optimization of agents specifically.

Nice to Have

• You've tried out agent frameworks like LangGraph, CrewAI, or AutoGen and can explain the pros and cons of autonomous vs. orchestrated agents.

• Experience with MLOps tools and platforms (e.g., Kubeflow, MLflow, Sagemaker).

•  Real-time streaming AI experience—token-level generation, WebRTC integration, or live transcription systems

• Contributions to open-source AI/ML projects or a strong public portfolio (GitHub, Kaggle).