Senior AI Agent Developer - Gemini ADK Lead

TechDigital Group

Santa Clara (CA)

On-site

USD 140,000 - 180,000

Full time

14 days+

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Job summary

TechDigital Group is seeking an experienced AI software engineer to design and build enterprise-grade agents on Google Gemini Enterprise using the ADK. You will implement agent logic, orchestration, memory, tools, prompts, and guardrails for Finance, Marketing, and HR use cases.

You will work with Data & AI Engineers, API/MCP Developers, and FDEs to integrate with enterprise data and publish reusable components to the Client Agent Library, while performing thorough testing and optimization of

Qualifications

  • 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.

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 Client 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.

Skills

ADK Gemini Dev
Python skills
Prompt engineering
RAG & embeddings
Agent orchestration
MCP integration

Tools

Vertex AI
LangChain
LlamaIndex
Cloud Run
GKE

Job description

TechDigital Group is seeking an experienced AI software engineer to design and build enterprise-grade agents on Google Gemini Enterprise using the ADK. You will implement agent logic, orchestration, memory, tools, prompts, and guardrails for Finance, Marketing, and HR use cases.

You will work with Data & AI Engineers, API/MCP Developers, and FDEs to integrate with enterprise data and publish reusable components to the Client Agent Library, while performing thorough testing and optimization of

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