Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Experience with Generative AI, Generative AI Agent, Natural Language Processing, Large Language Model. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s Agent Development Kit (ADK)) and patterns like ReAct, self-reflection, and hierarchical delegation. Preferred qualifications: Experience with Low-Rank Adaptation (LoRA) or Supervised Fine-Tuning (SFT) and reasoning. Experience in designing algorithms that programmatically truncate, summarize, or extract semantic milestones from a running conversation log. Experience in track agent trajectories and implement Large Language Model (e.g., Phoenix, LangSmith). Experience in Safety and Compliance like Prompt injection mitigation, sandboxed code execution etc Experience in ReAct, Tree of Thoughts and Plan-and-Solve loops, Directed Acyclic Graphs (DAGs). Experience in Bias-Variance tradeoff, Overfitting versus Underfitting, practical techniques to fix Experience in designing and implementing scalable AI solutions and rolling out AI and agentic solutions for Global Enterprises. 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. Welcome to the AI Garage, the innovation engine within Google’s POp’sEngineering. 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 Artificial Intelligence (AI) that adheres to strict privacy and legal standards. In this role, you will help us shape a more connected and productive future for all Google employees. You will have a keen interest in developing large-scale agentic systems and possess technical expertise in Artificial Intelligence and machine learning. 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 Develop Artificial Intelligence/Machine Learning (AI/ML) systems and Agentic solutions in the 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 and design and build scalable Agentic systems in HR domain. Collaborate with AI Garage Leads (e.g., Engineering 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.