Responsible for deployment, integration, operation, and lifecycle support of video delivery solutions across Hong Kong, Greater China, Taiwan, Mongolia, and the wider Asia-Pacific region.
Responsibilities
Perform Factory Acceptance Tests (FAT), system integration, validation, and end-to-end testing.
Lead deployment, commissioning, and integration activities with customer technical teams.
Coordinate software upgrades, migrations, patches, and feature rollouts.
Deliver customer training, knowledge transfer sessions, and operational handover activities.
Maintain accurate deployment, architecture, and project documentation.
Requirements
Bachelor's degree in Computer Science, Telecommunications, Electronics, Broadcast Engineering, or related discipline
Senior AI/ML Engineer with 11 years of experience designing and deploying scalable AI/ML systems, Agentic AI, Lang Chain, Lang Graph, Generative AI and RAG-based applications.
Responsibilities
Design and deploy scalable AI/ML systems
Implement AI architecture design and real-time inference
Build NLP and Generative AI pipelines
Develop model serving architectures using FastAPI and Docker
Create low-latency REST APIs and auto-scaling inference endpoints
Should be a very competent and senior AI/ML Engineer for designing and deploying scalable AI/ML systems, Agentic AI, Lang Chain, Lang Graph, Generative AI and RAG-based applications.
We are seeking a passionate and skilled AI Engineer with 3–7 years of experience, including a minimum of 2 years in Generative AI (GenAI), to join our AI/ML team. The AI Engineer will play a key role in building and deploying advanced AI solutions leveraging Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), multi-agent frameworks, and state-of-the-art tooling.
Locations (2)
Bengaluru, Karnataka, India
India
Responsibilities
Design, develop, and deploy GenAI solutions, with a focus on real-world production readiness.
Build and scale Retrieval-Augmented Generation (RAG) systems for enterprise use cases.
Integrate with graph-based memory and tool-using agents to enhance LLM capabilities.
Implement multi-agent orchestration and reasoning systems (e.g., AutoGen, LangGraph, custom agents).
Use LLM frameworks and libraries (e.g., LangChain, AutoGen, LangGraph etc.).
AI Engineer with 3–7 years of experience, including 2+ years in Generative AI, to build and deploy GenAI solutions using RAG, LLMs, and multi-agent frameworks.
Locations (2)
Bengaluru, Karnataka, India
India
Responsibilities
Design, develop, and deploy GenAI solutions, with a focus on real-world production readiness.
Build and scale Retrieval-Augmented Generation (RAG) systems for enterprise use cases.
Integrate with graph-based memory and tool-using agents to enhance LLM capabilities.
Implement multi-agent orchestration and reasoning systems (e.g., AutoGen, LangGraph, custom agents).
Use LLM frameworks and libraries (e.g., LangChain, AutoGen, LangGraph etc.).
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field
AI Engineer with 3–7 years of experience, including a minimum of 2 years in Generative AI, to build and deploy advanced AI solutions leveraging Retrieval-Augmented Generation, LLMs, multi-agent frameworks, and state-of-the-art tooling.
Responsibilities
Design, develop, and deploy GenAI solutions
Build and scale Retrieval-Augmented Generation systems
Integrate with graph-based memory and tool-using agents
Implement multi-agent orchestration and reasoning systems
Use LLM frameworks and libraries
Requirements
Bachelor’s degree in Computer Science or Engineering
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