
Senior / Lead Software Engineer – AI Agents (GCP)
Quantum World Technologies
Job description
Senior / Lead Software Engineer – AI Agents (GCP)
Location: Atlanta, GA – 3 Days Onsite
Duration: Long Term Contract
Position Overview
We are seeking a highly skilled
Senior / Lead Software Engineer – AI Agents
to design, build, and deploy production-grade
AI agents and chatbots on Google Cloud Platform (GCP)
.
The ideal candidate will have strong software engineering experience combined with hands-on expertise in
AI/LLM applications, Python, Google Cloud, Vertex AI, Agent Development Kit (ADK), APIs, distributed systems, and SQL/BigQuery
.
This role will own the complete AI agent delivery lifecycle, from
rapid Proof of Concept (POC) through production deployment
, while ensuring solutions are secure, scalable, reliable, observable, and cost-effective.
Key Responsibilities
AI Agent & Chatbot Development
-
Design and develop
AI agents and enterprise chatbots
using modern agent frameworks.
-
Build agents capable of interacting with:
-
APIs
-
Databases
-
Enterprise applications
-
Cloud services
-
External tools
-
Develop tool-calling and service-integration capabilities for AI agents.
-
Implement multi-step agent workflows involving
reasoning, orchestration, context management, and tool execution
.
Google Cloud & ADK
-
Develop AI agents using
Google Agent Development Kit (ADK)
.
-
Build primarily with
Python
, with Java or another backend language as applicable.
-
Leverage
Google Cloud Platform
services to build scalable AI solutions.
-
Work extensively with
Vertex AI
and other GCP services.
-
Deploy production services using
Cloud Run and/or GKE
.
-
Integrate AI agents with
BigQuery and enterprise systems
.
POC to Production
-
Rapidly prototype AI agent solutions using
Agent Studio, AI Studio, or equivalent tools
.
-
Quickly evaluate concepts and demonstrate working AI solutions.
-
Convert successful POCs into
production-ready services
.
-
Establish reusable patterns and frameworks for moving AI solutions from experimentation to enterprise production.
-
Identify and resolve technical challenges during productionization.