Senior AI Agent Engineer – Google ADK & Generative AI

Senior AI Agent Engineer – Google ADK & Generative AI

Location: NJ Hybrid / Onsite
Duration: 12 mns

About the Role

The Client looking for an experienced Senior AI Agent Engineer to lead the design and development of enterprise-grade AI agents using Google Agent Development Kit (ADK) and Google Gemini. This role is ideal for someone passionate about building intelligent, autonomous systems that can reason, plan, collaborate, and execute business workflows across enterprise applications.

You will work closely with product managers, architects, and business stakeholders to develop AI-powered solutions that integrate seamlessly with Google Workspace, Google Cloud, internal platforms, and third-party enterprise systems. The ideal candidate has strong software engineering fundamentals, hands-on experience with Generative AI technologies, and a proven ability to deliver production-ready AI solutions.

Key Responsibilities

• Design, develop, and deploy intelligent AI agents using Google Agent Development Kit (ADK).

• Build scalable multi-agent systems capable of planning, reasoning, tool orchestration, and autonomous task execution.

• Integrate AI agents with Google Workspace services, including Gmail, Drive, Docs, Sheets, Calendar, Meet, and Chat.

• Develop secure integrations with enterprise applications, REST APIs, databases, and external services.

• Design and implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories and vector databases.

• Build conversational memory, session management, and context-aware interactions for AI agents.

• Optimize prompts, reasoning strategies, and tool selection to improve agent accuracy and reliability.

• Deploy and manage AI solutions on Google Cloud Platform (Google Cloud Platform), including Vertex AI and related cloud services.

• Implement authentication, authorization, and secure access using OAuth 2.0, IAM, and enterprise security standards.

• Develop monitoring, logging, tracing, and evaluation frameworks to ensure production reliability.

• Collaborate with cross-functional teams to identify automation opportunities and deliver AI-driven business solutions.

• Stay current with advancements in Generative AI, LLMs, AI agents, and cloud technologies.

Required Qualifications

• Bachelor''s or Master''s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline.

• 5+ years of software engineering experience developing enterprise applications.

• 2+ years of hands-on experience building Generative AI or Large Language Model (LLM) solutions.

• Practical experience with Google Agent Development Kit (ADK).

• Experience developing applications using Google Gemini models.

• Strong programming skills in Python.

• Experience building RESTful APIs and microservices.

• Hands-on experience designing AI agents or workflow orchestration frameworks.

• Strong understanding of Prompt Engineering, Function Calling, and AI Agent architectures.

• Experience implementing Retrieval-Augmented Generation (RAG).

• Experience working with Vector Databases.

• Hands-on experience with Google Cloud Platform (Google Cloud Platform).

• Experience with Git, CI/CD pipelines, and Agile development methodologies.

Preferred Qualifications

• Experience deploying AI solutions using Vertex AI Agent Engine.

• Experience integrating Google Workspace APIs.

• Experience with LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar AI orchestration frameworks.

• Knowledge of Model Context Protocol (MCP).

• Experience with Docker and Kubernetes.

• Experience working with BigQuery, Firestore, Cloud SQL, or AlloyDB.

• Familiarity with AI observability, evaluation frameworks, and LLMOps practices.

• Experience building enterprise copilots or AI assistants.

NO THIRD PARTY PLEASE- DIRECT CANDIDATES ONLY.

CANDIDATE WHO CAN WORK FOR ANY EMPLOYER IN USA WITHOUT ANY SPONSORSHIP

Please submit your resume along with the following must required information to:

1. Contact number

2. Email

3. Current location

4. Work Authorization

5. Availability

6. Pay Rate