Senior AI Engineer

9 hours ago

Bangalore, India RingCentral Full time
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).

Why You'll Love Working With Us
~ You’ll build things that scale globally
~# ; You’ll work on real problems; model fine tuning, RAG,Agentic and all the stuff engineers love.
~# ; You’ll be part of a global team collaborating with top engineers
~# ; Accelerated career growth due to high visible AI projects.
~# ; Hybrid work from our Bengaluru office + flexible hours.

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