Staff Software Engineer, Vertex AI Search
Alphabet Inc.
All India • 1 month ago
Experience: 3 to 8 Yrs
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Job Description
Role Overview:
As a software engineer at Google Cloud, you will be contributing to the development of next-generation technologies that impact billions of users worldwide. You will have the opportunity to work on critical projects, anticipate customer needs, and innovate to push technology forward. The Google Cloud AI Research team focuses on addressing AI challenges across various industries, aiming to advance the state-of-the-art in AI and collaborate with product teams to bring innovations to real-world impact.
Key Responsibilities:
- Lead a team in building the next generation of Grounding on Web Search to meet customer needs on Vertex platforms
- Design, implement, and maintain critical systems to scale and advance capabilities
- Develop algorithms to enhance Large Language Models (LLMs) and improve Search ranking
- Enhance model qualities for better grounded results
- Build and train specialized models to elevate the quality of the grounding stack
Qualifications Required:
- Bachelors degree or equivalent practical experience
- 8 years of experience in software development
- 5 years of experience with Machine Learning (ML) design and infrastructure
- Experience in Unix/Linux environments, distributed and parallel systems, networking, and architecting software systems
- Masters degree or PhD in Engineering, Computer Science, or related field preferred
- 3 years of technical leadership experience leading project teams and setting technical direction
- Familiarity with Artificial Intelligence (AI) concepts and building AI applications
- Experience with Large Language Models (LLMs), including fine-tuning and agent-based systems
- Understanding of the end-to-end lifecycle of AI-powered applications, from data ingestion to model serving and monitoring Role Overview:
As a software engineer at Google Cloud, you will be contributing to the development of next-generation technologies that impact billions of users worldwide. You will have the opportunity to work on critical projects, anticipate customer needs, and innovate to push technology forward. The Google Cloud AI Research team focuses on addressing AI challenges across various industries, aiming to advance the state-of-the-art in AI and collaborate with product teams to bring innovations to real-world impact.
Key Responsibilities:
- Lead a team in building the next generation of Grounding on Web Search to meet customer needs on Vertex platforms
- Design, implement, and maintain critical systems to scale and advance capabilities
- Develop algorithms to enhance Large Language Models (LLMs) and improve Search ranking
- Enhance model qualities for better grounded results
- Build and train specialized models to elevate the quality of the grounding stack
Qualifications Required:
- Bachelors degree or equivalent practical experience
- 8 years of experience in software development
- 5 years of experience with Machine Learning (ML) design and infrastructure
- Experience in Unix/Linux environments, distributed and parallel systems, networking, and architecting software systems
- Masters degree or PhD in Engineering, Computer Science, or related field preferred
- 3 years of technical leadership experience leading project teams and setting technical direction
- Familiarity with Artificial Intelligence (AI) concepts and building AI applications
- Experience with Large Language Models (LLMs), including fine-tuning and agent-based systems
- Understanding of the end-to-end lifecycle of AI-powered applications, from data ingestion to model serving and monitoring
Skills Required
Software Development
Machine Learning
Distributed systems
Networking
Technical leadership
Artificial Intelligence
Monitoring
Information retrieval
Distributed computing
Security
Natural language processing
UI design
Mobile development
Algorithms
ML design
ML infrastructure
UnixLinux environments
Parallel systems
Architecting software systems
AI applications
Large Language Models LLMs
Retrievalaugmented generation RAG
Agentbased systems
Endtoend lifecycle of AIpowered applications
Data ingestion
Model serving
Largescale system design
Data storage
Posted on: March 8, 2026
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