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Salary
≈ $32k – $78k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Staff · 8+ years exp

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 12, 2026. Google scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

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.

Welcome to the AI Garage, the innovation engine within Google’s POp’s Engineering. We solve complex HR technology challenges by deploying advanced Agentic AI and ML into critical user experiences. Using an agile "garage model," our multi-disciplinary squads in India balance rapid innovation with engineering excellence to scale autonomous solutions. We are committed to building robust, empathetic, and responsible AI that adheres to strict privacy and legal standards.

At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.

Responsibilities

  • Engineering technical lead for the AI Garage team which responsible for developing AI/ML systems and Agentic solutions in HR domain.
  • Drive engineering excellence for the AI Garage team.
  • Provide technical leadership in regards to immediate and complex technical problems to leads of associated teams.
  • Influence, design, and build scalable Agentic systems in HR domain. Stay up-to-date with the latest trends in Agentic and AI/ML engineering.
  • Collaborate with AI Garage Leads (e.g., Eng Managers, Product Managers and AI strategists) and stakeholders to understand their needs and translate them into technical solutions.

Qualifications

Minimum qualifications:

  • Bachelor's degree in Computer Science, 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.
  • 1 year of experience with Generative AI, Agentic AI, Large Language Models (LLMs), AI evaluations, training, or models.

Preferred qualifications:

  • Experience collaborating in a globally distributed product and engineering team.
  • Experience implementing and customizing structural execution patterns like ReAct (Reason + Act), Tree of Thoughts (ToT), and Plan-and-Solve loops, giving models the cognitive scaffolding to break down vague goals into deterministic DAGs (Directed Acyclic Graphs).
  • Excellent communication skills across engineering, product and business domains.
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