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Founded :
1998
Type :
Product
Size :
500-1000
Stage :
Profitable

About

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.

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Suvidha Chib
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Shalabh Gupta
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Shashank Chikodi

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Jobs at Google

Google
at Google
3 recruiters
Veena Suresh
Posted by Veena Suresh
Hyderabad
6 - 15 yrs
Best in industry
Agentic AI
skill iconMachine Learning (ML)
Retrieval Augmented Generation (RAG)
LangGraph
LoRA / QLoRA

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 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.

Required Skill :

  • Master's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience
  • 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.)
  • Design and implement scalable AI solutions for Enterprises.Experience in Building and rolling out AI and agentic solutions for Global Enterprises
  • Multi-Agent Systems: Handle collaboration, memory persistence, and dynamic planning using frameworks like LangGraph, CrewAI, or AutoGen.
  • Optimization & Evaluation: Track agent trajectories, manage cost/latency, and implement LLM-as-a-judge frameworks (e.g., Phoenix, LangSmith).
  • Safety & Compliance: Prompt injection mitigation, sandboxed code execution, and human-in-the-loop (HITL) checkpoints.
  • Experience with offline,online and RL based validation
  • 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).
  • Good understanding of the Bias-Variance tradeoff, Overfitting vs. Underfitting, and practical techniques to fix them (L1/L2 Regularization, Dropout, Early Stopping). 
  • 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.
  • 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 
  • 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
  • Experience with LoRA or SFT and reasoning 
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Agency job
via Google by Shashank Chikodi
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Mumbai
10 - 19 yrs
₹10L - ₹35L / yr
Presales
IT Solutioning
Distributed Systems
Architecture
skill iconAmazon Web Services (AWS)
+1 more
Work with the Sales team to identify and qualify business opportunities. Identify key customer technical objections and develop the strategy to resolve technical impediments to business transactions. Take responsibility for technical aspects of solutions, including activities such as supporting bid responses, product and solution briefings, proof-of-concept work, and the coordination of supporting technical resources. Work closely with Google Cloud Platform products to demonstrate and prototype integrations in customer/partner environments. Prepare and deliver product messaging in an effort to highlight the G Suite value proposition using techniques including whiteboard and slide presentations, product demonstrations, white papers, trial management and RFI response documents. Deliver recommendations on integration strategies, enterprise architectures, platforms and application infrastructure required to successfully implement a complete solution providing best practice advice to customers to optimize Google Cloud Platform effectiveness.
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