Staff Software Engineer, AI Garage
Hyderabad, Telangana, Indiaonsitefull timeToday
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.
Responsibilities:
Develop AI/ML systems and agentic solutions in an HR domain.
Provide technical leadership in regards to immediate and complex technical problems to leads of associated teams.
Influence and Design and build scalable Agentic systems in HR domain.
Collaborate with AI Garage Leads ( Eng Managers, Product Managers and AI strategist ) and stakeholders to understand their needs and translate them into technical solutions.
Stay up-to-date with the latest trends in Agentic and AIML engineering.
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.
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.
Excellent communication skills across engineering, product and business domains.
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).
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