Senior Software Engineer, Ai/ml

Google Google · Big Tech · Hyderabad, Telangana, India

Senior Software Engineer role focused on developing and scaling Agentic AI and ML systems within the HR domain for Google employees. The role involves technical leadership, collaboration with stakeholders, and staying updated on AI/ML trends, with a strong emphasis on building multi-agent systems and generative AI solutions.

What you'd actually do

  1. Develop Artificial Intelligence/Machine Learning (AI/ML) systems and Agentic solutions in the HR domain. Drive engineering excellence for the AI Garage team.
  2. Provide technical leadership in regards to immediate and complex technical problems to leads of associated teams.
  3. Influence and design and build scalable Agentic systems in HR domain.
  4. 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.
  5. Stay up-to-date with the latest trends in Agentic and AIML engineering.

Skills

Required

  • software development
  • software design and architecture
  • Generative AI
  • Generative AI Agent
  • Natural Language Processing
  • Large Language Model
  • multi-agent systems
  • LangGraph
  • CrewAI
  • Google’s Agent Development Kit (ADK)
  • ReAct
  • self-reflection
  • hierarchical delegation

Nice to have

  • Low-Rank Adaptation (LoRA)
  • Supervised Fine-Tuning (SFT)
  • reasoning
  • programmatically truncate, summarize, or extract semantic milestones from a running conversation log
  • track agent trajectories
  • Phoenix
  • LangSmith
  • Prompt injection mitigation
  • sandboxed code execution
  • Tree of Thoughts
  • Plan-and-Solve loops
  • Directed Acyclic Graphs (DAGs)
  • Bias-Variance tradeoff
  • Overfitting versus Underfitting
  • scalable AI solutions
  • rolling out AI and agentic solutions for Global Enterprises

What the JD emphasized

  • 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.
  • 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).

Other signals

  • Develop AI/ML systems and Agentic solutions
  • Influence and design and build scalable Agentic systems
  • Experience implementing multi-agent systems