Staff Software Engineer, AI/ML and Moma Agentic

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Staff Software Engineer, AI/ML and Moma Agentic

Google

Location

Hyderabad, Telangana, India

Experience

Senior

Posted

Jul 22, 2026

Apply by

August 21, 2026

Applicants

0

Early applicantEasy applyFull-timeWork from Office

Job Description

Minimum qualifications: Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 5 years of experience testing, and launching software products. Preferred qualifications: Experience collaborating in a globally distributed product and engineering team. Understanding of distributed systems architecture and database technologies. Excellent communication skills across engineering, product and business domains. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company. Responsibilities Influence design and contribute to land various Agentic/skills initiatives as part of Enterprise Knowledge Platform, Gemini Enterprise for Google, Agentic experiences etc. Require a deep understanding of agentic experience, Artificial Intelligence, Machine Learning, and Large Language Models, along with strong coding skills, excellent communication abilities, and a passion for mentoring junior engineers to succeed in this role. Expert in machine learning with strong research and software engineering skills, preferably with LLM, Reinforcement Learning in LLM or natural language processing expertise. You should have experience building products based around AI models. Collaborate closely with Core Data/Cloud/GDM Organisation Providing Technical Guidance and direct contributions are expected across various technologies and land in production.

Key Responsibilities

  • Influence design and contribute to Agentic/skills initiatives for Enterprise Knowledge Platform and Gemini Enterprise.
  • Provide technical guidance and direct contributions across various technologies.
  • Collaborate closely with Core Data, Cloud, and GDM organizations.
  • Mentor junior engineers and demonstrate leadership qualities.
  • Design, develop, test, deploy, maintain, and enhance software solutions.

Requirements

  • Bachelor's degree in Computer Science or a related technical field

Skills Required

PythonCC++JavaJavaScriptMachine LearningArtificial IntelligenceLarge Language ModelsSoftware DevelopmentTestingSoftware LaunchingCommunicationLeadershipMentoringVersatilityDistributed systems architectureDatabase technologiesLLMReinforcement LearningNatural language processingCollaboration in globally distributed teams

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