Cutshort Scraper

{
  "id": "M0Q0hQLR",
  "record_id": "6ab0f9a5a8afac69f1586404",
  "title": "Senior Software Engineer - AI Garage - HYD",
  "link": "https://cutshort.io/job/Senior-Software-Engineer-AI-Garage-HYD-Hyderabad-Google-M0Q0hQLR",
  "company": {
    "id": "585a1dcf89e5d8d50f0a1ea8",
    "name": "Google",
    "alias": "google-xCGJDIoH",
    "link": "https://cutshort.io/company/google-xCGJDIoH",
    "logo": "https://cdnv2.cutshort.io/company-static/585a1dcf89e5d8d50f0a1ea8/user_uploaded_data/logos/company_logo.png",
    "type": "Product",
    "size": "500-1000",
    "stage": "Profitable",
    "funding": "Profitable",
    "founded_year": 1998,
    "followers_count": 1671,
    "is_hiring_for_client": false,
    "website": "https://google.com",
    "linkedin": "https://linkedin.com/company/google",
    "description": "Google is an American multinational technology company specializing in Internet-related services and products. These include online advertising technologies, search, cloud computing, software, and hardware.",
    "description_html": "<p>Google is an American multinational technology company specializing in Internet-related services and products. These include online advertising technologies, search, cloud computing, software, and hardware.</p>",
    "faqs": [],
    "tech_stack": [],
    "team": [
      {
        "id": "60b60b6bf3485e0b7ef35e15",
        "name": "Suvidha Chib",
        "title": "Hiring at Google",
        "linkedin": "https://www.linkedin.com/in/suvidhachib/",
        "photo": "https://cdn.cutshort.io/public/users/60b60b6bf3485e0b7ef35e15"
      },
      {
        "id": "585a1d742447c80f0b99f031",
        "name": "Shalabh Gupta",
        "title": "Hiring at Google",
        "linkedin": "https://linkedin.com/in/shalabh-gupta-09a4b332",
        "photo": "https://cdn.cutshort.io/public/users/585a1d742447c80f0b99f031/shalabh.jpg"
      },
      {
        "id": "5a93ce3148900b4a2d953cfa",
        "name": "Shashank Chikodi",
        "title": "Hiring at Google",
        "linkedin": "https://linkedin.com/in/shashank-chikodi-30aa737/",
        "photo": "https://cdn.cutshort.io/public/users/5a93ce3148900b4a2d953cfa"
      }
    ],
    "photos": [],
    "products": []
  },
  "locations": [
    "Hyderabad"
  ],
  "is_remote": false,
  "remote_policy": "onsite",
  "role_types": [
    "full_time"
  ],
  "is_internship": false,
  "experience": {
    "min_years": 6.0,
    "max_years": 15.0,
    "text": "6 - 15 years"
  },
  "salary": {
    "currency": "INR",
    "min": null,
    "max": null,
    "min_lakhs": null,
    "max_lakhs": null,
    "per": "year",
    "has_esop": false,
    "text": "Best in industry"
  },
  "skills": [
    {
      "code": "06852",
      "name": "Agentic AI"
    },
    {
      "code": "00268",
      "name": "Machine Learning (ML)"
    },
    {
      "code": "06781",
      "name": "Retrieval Augmented Generation (RAG)"
    },
    {
      "code": "06826",
      "name": "LangGraph"
    },
    {
      "code": "06863",
      "name": "LoRA / QLoRA"
    }
  ],
  "is_hiring_for_client": false,
  "posted_at": "2026-09-28T10:37:25Z",
  "posted_on": "2026-09-28",
  "is_live": true,
  "shows_only_max_salary": false,
  "category": "tech",
  "tags": [
    "others-tech"
  ],
  "description": "Responsibilities\n- Engineering technical lead for the AI Garage team which responsible for developing AI/ML systems and Agentic solutions in HR domain\n- Drive engineering excellence for the AI Garage team\n- Provide technical leadership in regards to immediate and complex technical problems to leads of associated teams.\n- Influence and Design and build scalable Agentic systems in HR domain.\n- Collaborate with AI Garage Leads ( Eng Managers, Product Managers and AI strategist ) and stakeholders to understand their needs and translate them into technical solutions.\n- Stay up-to-date with the latest trends in Agentic and AIML engineering.\n\nRequired Skill :\n- Master's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience\n- 8+ years of experience in software development, including proficiency in one or more programming languages, artificial intelligence, machine learning algorithms and tools, and Generative AI (Large Language Models, Multi-Model, etc.)\n- Design and implement scalable AI solutions for Enterprises.Experience in Building and rolling out AI and agentic solutions for Global Enterprises\n- Multi-Agent Systems: Handle collaboration, memory persistence, and dynamic planning using frameworks like LangGraph, CrewAI, or AutoGen.\n- Optimization & Evaluation: Track agent trajectories, manage cost/latency, and implement LLM-as-a-judge frameworks (e.g., Phoenix, LangSmith).\n- Safety & Compliance: Prompt injection mitigation, sandboxed code execution, and human-in-the-loop (HITL) checkpoints.\n- Experience with offline,online and RL based validation\n- Metrics Selection: Knowing which evaluation metric matches specific business constraints (e.g., using Precision/Recall or Area Under the ROC Curve (AUC) rather than basic Accuracy on an imbalanced classification dataset).\n- Good understanding of the Bias-Variance tradeoff, Overfitting vs. Underfitting, and practical techniques to fix them (L1/L2 Regularization, Dropout, Early Stopping).\n- Dynamic Context Compaction: Skills in designing algorithms that programmatically truncate, summarize, or extract semantic milestones from a running conversation log so the agent doesn't suffer from \"lost in the middle\" phenomena during long-horizon tasks.\n- Advanced Reasoning Frameworks: 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\n- Evidence in runtime layers that scan user inputs for prompt injection or jailbreak attempts designed to hijack an agent’s system tools, alongside strictly isolating tool execution environments\n- Experience with LoRA or SFT and reasoning",
  "description_html": "<p><strong>Responsibilities</strong></p><ul><li>Engineering technical lead for the AI Garage team which responsible for developing AI/ML systems and Agentic solutions in HR domain </li><li>Drive engineering excellence for the AI Garage team </li><li>Provide technical leadership in regards to immediate and complex technical problems to leads of associated teams.</li><li>Influence and Design and build scalable Agentic systems in HR domain. </li><li>Collaborate with AI Garage Leads ( Eng Managers, Product Managers and AI strategist ) and stakeholders to understand their needs and translate them into technical solutions.</li><li>Stay up-to-date with the latest trends in Agentic and AIML engineering.</li></ul><p><strong>Required Skill :</strong></p><ul><li>Master's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience</li><li>8+ years of experience in software development, including proficiency in one or more programming languages, artificial intelligence, machine learning algorithms and tools, and Generative AI (Large Language Models, Multi-Model, etc.)</li><li>Design and implement scalable AI solutions for Enterprises.Experience in Building and rolling out AI and agentic solutions for Global Enterprises</li><li>Multi-Agent Systems: Handle collaboration, memory persistence, and dynamic planning using frameworks like LangGraph, CrewAI, or AutoGen.</li><li>Optimization &amp; Evaluation: Track agent trajectories, manage cost/latency, and implement LLM-as-a-judge frameworks (e.g., Phoenix, LangSmith).</li><li>Safety &amp; Compliance: Prompt injection mitigation, sandboxed code execution, and human-in-the-loop (HITL) checkpoints.</li><li>Experience with offline,online and RL based validation</li><li>Metrics Selection: Knowing which evaluation metric matches specific business constraints (e.g., using Precision/Recall or Area Under the ROC Curve (AUC) rather than basic Accuracy on an imbalanced classification dataset).</li><li>Good understanding of the Bias-Variance tradeoff, Overfitting vs. Underfitting, and practical techniques to fix them (L1/L2 Regularization, Dropout, Early Stopping). </li><li>Dynamic Context Compaction: Skills in designing algorithms that programmatically truncate, summarize, or extract semantic milestones from a running conversation log so the agent doesn't suffer from \"lost in the middle\" phenomena during long-horizon tasks.</li><li>Advanced Reasoning Frameworks<strong>:</strong> Implementing and customizing structural execution patterns like <strong>ReAct</strong> (Reason + Act<strong>), </strong>Tree of Thoughts (ToT), and Plan-and-Solve loops, giving models the cognitive scaffolding to break down vague goals into deterministic DAGs </li><li>Evidence in runtime layers that scan user inputs for prompt injection or jailbreak attempts designed to hijack an agent’s system tools, alongside strictly isolating tool execution environments</li><li>Experience with LoRA or SFT and reasoning </li></ul>",
  "recruiter": {
    "id": "6ab0b7c928dd7e426c883efe",
    "name": "Veena Suresh",
    "photo": "https://cdn.cutshort.io/public/material-letter-icons/V.png"
  },
  "recruiting_company": null,
  "client_company": null,
  "related_listings": [],
  "similar_jobs": null
}