Senior Technical Specialist

Job Summary

Job Description: Gemini Enterprise Engineer (ADK) Job Title Gemini Enterprise Engineer (Agent Development Kit - ADK)Experience - 5-10 YearsLocation - Hybrid / Remote (Based on Project Requirements)Role OverviewWe are seeking a highly skilled Gemini Enterprise Engineer with hands-on expertise in Google Agent Development Kit (ADK), Gemini Enterprise Agent Platform, and Vertex AI to design, develop, and deploy enterprise-grade Agentic AI solutions. The ideal candidate will build scalable multi-agent architectures, integrate enterprise systems, implement advanced reasoning workflows, and deliver secure, production-ready AI applications for complex business use cases. Key Responsibilities Design and implement multi-agent systems using Google ADK and Gemini Enterprise Agent Platform. Develop intelligent AI agents capable of planning, reasoning, tool calling, and workflow orchestration. Build and optimize RAG (Retrieval Augmented Generation) solutions using Vertex AI Search, Vector Databases, and BigQuery. Integrate AI agents with enterprise applications such as SAP, Salesforce, ServiceNow, databases, and REST APIs. Implement advanced agentic patterns including: ReAct Chain-of-Thought (CoT) Self-Reflection Hierarchical Agent Delegation Human-in-the-Loop (HITL) Develop agent memory, session management, and long-context processing capabilities. Establish AI evaluation frameworks to measure agent performance, trajectory quality, accuracy, precision, recall, and faithfulness. Build CI/CD pipelines for AI and Agentic AI deployments. Ensure governance, observability, security, compliance, and responsible AI practices. Collaborate with business stakeholders to identify and implement Agentic AI use cases across domains. Required Technical Skills Agentic AI & LLMs Gemini Enterprise Platform Google Agent Development Kit (ADK) Multi-Agent Systems (MAS) Prompt Engineering LLM Evaluation Frameworks Agent Memory Management Tool Calling & Function Calling MCP (Model Context Protocol) Google Cloud & AI Vertex AI Gemini Models Vertex AI Search BigQuery Vector Search Cloud Run GKE (Google Kubernetes Engine) Dataflow Programming Python (Mandatory) FastAPI REST APIs TypeScript / Java / Go (Preferred) Data & AI Engineering RAG Architectures Vector Databases Knowledge Graphs Data Pipelines SQL / NoSQL Databases Apache Beam DevOps & MLOps Docker Kubernetes Git CI/CD Pipelines Agent Observability Monitoring & Logging Must-Have Qualifications 5+ years of software engineering or AI/ML experience. Strong experience in Python development. Hands-on experience with Google ADK and Agentic AI frameworks. Experience building and deploying production-grade AI solutions on Google Cloud Platform (GCP). Strong understanding of RAG, Vector Search, and enterprise AI integrations. Experience implementing multi-agent workflows and orchestration strategies. Strong debugging and Root Cause Analysis (RCA) capabilities. Excellent communication and stakeholder management skills. Preferred Skills Experience with LangGraph, LangChain, CrewAI, or similar frameworks. Familiarity with A2A (Agent-to-Agent) communication. Experience integrating Knowledge Graphs with LLMs. Experience with SAP, Salesforce, or enterprise ERP integrations. Experience in regulated industries such as Financial Services, Manufacturing, Healthcare, or Retail. Knowledge of Responsible AI and AI Governance frameworks. Certifications (Preferred) Google Professional Machine Learning Engineer Google Cloud Professional Cloud Architect Gemini Enterprise Agent Development Certifications Vertex AI Specialization Google Skills Boost ADK Learning Path Certifications Success ProfileThe ideal candidate is a hands-on engineer who can bridge the gap between AI experimentation and enterprise-scale deployment, delivering secure, scalable, and business-aligned Agentic AI solutions using Gemini Enterprise and Google ADK.This JD is suitable for hiring L3/L4 Senior Engineer, Lead Engineer, or Solution Architect profiles focused on

Key Responsibilities

Job Description: Gemini Enterprise Engineer (ADK) Job Title Gemini Enterprise Engineer (Agent Development Kit - ADK)Experience - 5-10 YearsLocation - Hybrid / Remote (Based on Project Requirements)Role OverviewWe are seeking a highly skilled Gemini Enterprise Engineer with hands-on expertise in Google Agent Development Kit (ADK), Gemini Enterprise Agent Platform, and Vertex AI to design, develop, and deploy enterprise-grade Agentic AI solutions. The ideal candidate will build scalable multi-agent architectures, integrate enterprise systems, implement advanced reasoning workflows, and deliver secure, production-ready AI applications for complex business use cases. Key Responsibilities Design and implement multi-agent systems using Google ADK and Gemini Enterprise Agent Platform. Develop intelligent AI agents capable of planning, reasoning, tool calling, and workflow orchestration. Build and optimize RAG (Retrieval Augmented Generation) solutions using Vertex AI Search, Vector Databases, and BigQuery. Integrate AI agents with enterprise applications such as SAP, Salesforce, ServiceNow, databases, and REST APIs. Implement advanced agentic patterns including: ReAct Chain-of-Thought (CoT) Self-Reflection Hierarchical Agent Delegation Human-in-the-Loop (HITL) Develop agent memory, session management, and long-context processing capabilities. Establish AI evaluation frameworks to measure agent performance, trajectory quality, accuracy, precision, recall, and faithfulness. Build CI/CD pipelines for AI and Agentic AI deployments. Ensure governance, observability, security, compliance, and responsible AI practices. Collaborate with business stakeholders to identify and implement Agentic AI use cases across domains. Required Technical Skills Agentic AI & LLMs Gemini Enterprise Platform Google Agent Development Kit (ADK) Multi-Agent Systems (MAS) Prompt Engineering LLM Evaluation Frameworks Agent Memory Management Tool Calling & Function Calling MCP (Model Context Protocol) Google Cloud & AI Vertex AI Gemini Models Vertex AI Search BigQuery Vector Search Cloud Run GKE (Google Kubernetes Engine) Dataflow Programming Python (Mandatory) FastAPI REST APIs TypeScript / Java / Go (Preferred) Data & AI Engineering RAG Architectures Vector Databases Knowledge Graphs Data Pipelines SQL / NoSQL Databases Apache Beam DevOps & MLOps Docker Kubernetes Git CI/CD Pipelines Agent Observability Monitoring & Logging Must-Have Qualifications 5+ years of software engineering or AI/ML experience. Strong experience in Python development. Hands-on experience with Google ADK and Agentic AI frameworks. Experience building and deploying production-grade AI solutions on Google Cloud Platform (GCP). Strong understanding of RAG, Vector Search, and enterprise AI integrations. Experience implementing multi-agent workflows and orchestration strategies. Strong debugging and Root Cause Analysis (RCA) capabilities. Excellent communication and stakeholder management skills. Preferred Skills Experience with LangGraph, LangChain, CrewAI, or similar frameworks. Familiarity with A2A (Agent-to-Agent) communication. Experience integrating Knowledge Graphs with LLMs. Experience with SAP, Salesforce, or enterprise ERP integrations. Experience in regulated industries such as Financial Services, Manufacturing, Healthcare, or Retail. Knowledge of Responsible AI and AI Governance frameworks. Certifications (Preferred) Google Professional Machine Learning Engineer Google Cloud Professional Cloud Architect Gemini Enterprise Agent Development Certifications Vertex AI Specialization Google Skills Boost ADK Learning Path Certifications Success ProfileThe ideal candidate is a hands-on engineer who can bridge the gap between AI experimentation and enterprise-scale deployment, delivering secure, scalable, and business-aligned Agentic AI solutions using Gemini Enterprise and Google ADK.This JD is suitable for hiring L3/L4 Senior En