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Gemini Agent Development Kit consultant

Laiba Technologies LLCUnited States🇺🇸United StatesPosted 11 Aug 2026

Why This Role Stands Out

Leverage your expertise in AI agent development with Google's Gemini Enterprise and ADK to build innovative solutions for Intel's core business functions, enjoying the flexibility of a remote role. You'll thrive in this position if you possess strong Python and prompt engineering skills, enjoy complex problem-solving, and are eager to contribute to a cutting-edge AI library. Apply now to advance your career in the rapidly evolving field of generative AI!

Quick Overview

Work Type
Remote
Level
Mid Senior

Job Description

Role: AI Agent - Developer (GE-ADK)
Location: Remote, USA 

Skills: Gemini Enterprise -Agent Development Kit
Designs and builds enterprise-grade AI agents on Google Gemini Enterprise using the Agent Development Kit (ADK) for Intel''s Finance, Marketing, and HR use cases. Implements agent logic, orchestration, memory, tools, prompts, and guardrails, and contributes reusable components to the Intel Agent Library.

Key Responsibilities
•         Develop AI agents using Google ADK, Gemini foundation models, and the A2A protocol.
•         Implement agent reasoning, planning, tool invocation, memory, and sub-agent orchestration.
•         Integrate agents with enterprise data (Databricks, ServiceNow, Snowflake, OneDrive, Adobe, PDFs) via MCP and RAG.
•         Build reusable, modular agent components and publish to the Intel Agent Library.
•         Perform unit and evaluation testing using the ADK eval framework; optimize prompts and model configuration.
•         Collaborate with Data & AI Engineers, API/MCP Developers, and FDEs across the sprint lifecycle.

Mandatory (Must-Have) Skills
•         Hands-on Google ADK and Gemini Enterprise agent development.
•         Strong Python and prompt engineering for LLM/GenAI applications.
•         Experience with RAG, embeddings, vector search, and grounding.
•         Understanding of agent orchestration (A2A) and MCP tool integration.

Preferred (Good-to-Have) Skills
•         Vertex AI, LangChain / LlamaIndex, Cloud Run / GKE.
•         AI safety, evaluation, and guardrail patterns (Model Armor, Guardrails AI).
•         Finance / Marketing / HR domain exposure.

Experience & Certifications
•         6+ years software engineering with 2+ years GenAI/LLM development.
•         Google Cloud / Gemini / ADK certification preferred.

Skills

Snowflake
Databricks
Google Cloud
LLM
Python
ServiceNow

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