Location: Bengaluru, India | Type: Full-Time | Team: Engineering
Reimagine How The World Communicates with AIWe are building the backbone for the next generation of human communication. Imagine a system that doesn't just transmit voice and video, but understands it in real-time, transcribing, summarizing and retrieving context across millions of concurrent sessions
As an Engineering Manager, you will lead a specialized team of engineers building AI applications on an Agentic AI Platform. You will bridge the gap between high-level architectural goals and daily execution, fostering a culture of technical excellence while remaining deeply hands-on with the code.
What You’ll DoTeam Leadership & People Management: Lead a small, agile team of engineers. You will act as the liaison between individual contributors and management, owning talent reviews, goal setting, and performance management for your team (including setting quarterly goals)
Active Technical Contribution: Stay actively involved in coding and code reviews. You will contribute directly to design and architecture reviews, ensuring the team maintains high standards for code quality and system reliability.
Mentorship: Provide direct technical guidance to team members and supporting the professional development of junior-to-mid-level ICs.
Project Execution: Lead specific project teams through planning, task allocation, and progress tracking. You will ensure the team follows AI best practices to deliver on roadmap commitments.
AI Platform Development: Oversee the development of platform primitives, including retrieval interfaces, sessioning, and RAG-style features (embeddings, retrieval, and structured experimentation) to solve low-latency challenges on live streaming data.
Experience: Typically 1-4 years of people management or technical lead experience, with a strong background in software development
Technical Proficiency: Hands-on experience developing cloud-based backend services. Proficiency in Java, Kotlin, Go, or Python is essential.
AI & Data Foundations: Familiarity with indexing strategies (e.g., OpenSearch/Elasticsearch) and streaming frameworks like Apache Flink, Kafka and AI tools like LangGraph, Vector Embeddings, Prompt Engineering. Exposure to AI cost tracking is a plus.
Infrastructure Knowledge: Experience deploying code on public cloud services (AWS, Azure) using container technologies like Docker and Kubernetes.
Operational Mindset: A solid understanding of engineering and AI SDLC best practices along with troubleshooting expertise using tools like ELK stack, telemetry tools, etc.
Soft Skills: Strong communication and presentation skills with the ability to manage employees' concerns during periods of change and growth.
Languages: Java (Primary), Kotlin, Go, or Python.
Data/Search: OpenSearch, Apache Flink, Kafka, SQL/NoSQL, and Redis.
Infrastructure: Kubernetes, AWS, gRPC/HTTP, Service Mesh.
AI/LLM: RAG frameworks, Vector Databases, and Real-time Inference Runtimes.
Why You'll Love Working With Us
🪐You’ll build things that scale globally
💬 You’ll work on real problems; scale, efficiency, optimization.
🌐 You’ll be part of a global team collaborating with top engineers
🏠 Hybrid work from our Bengaluru office + flexible hours.
❤ Full medical insurance for you and your family.
💰 Competitive compensation + performance bonuses
RingCentral is an equal-opportunity employer that truly values diversity.
Top Skills
What We Do
RingCentral is a global leader in AI-powered trusted business communications, contact center, revenue intelligence, video and hybrid event solutions. RingCentral empowers businesses with conversation intelligence and unlocks rich customer and employee interactions to provide insights and improved business outcomes.
Why Work With Us
Innovation isn't just a buzzword—it's the core and heart of everything we do. We believe that groundbreaking ideas emerge from every corner of our organization. Our biggest strength? We are not all the same. At RingCentral, our commitment to fostering a culture of curiosity and inclusivity is what sets us apart.
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